Developmet Of An Intelligent System For Recognition Of Partially Occluded Human Subject In Video Surveillance System

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Developmet of an Intelligent System for Recognition of Partially Occluded Human Subject in Video Surveillance System

Author : Mohd Faid bin Yahya
Publisher :
ISBN 13 :
Total Pages : 338 pages
Book Rating : 4.:/5 (957 download)

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Book Synopsis Developmet of an Intelligent System for Recognition of Partially Occluded Human Subject in Video Surveillance System by : Mohd Faid bin Yahya

Download or read book Developmet of an Intelligent System for Recognition of Partially Occluded Human Subject in Video Surveillance System written by Mohd Faid bin Yahya and published by . This book was released on 2013 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, off-the-shelf cameras became vastly available, producing a huge amount of content that can be used in various applications. Among the applications, visual surveillance receives a great deal of interest. In visual surveillance, for the purpose of advanced security and monitoring system, human recognition at a distance is of importance. Interest in finding specific individual becomes important such as the case in locating missing person and identification of terrorist from recording of video surveillance in public places. Many methods published so far for human recognition in video image analysis focused on face and gait. However, these methods have low recognition performance due to some external factors such as face are prone to fake facial images and gait is susceptible to occlusion. The presence of the occlusion introduces errors into many existing vision algorithms which have yet to be resolved. In such situations vision techniques to identify a human fails because descriptors of part of the human shape may not have any resemblance with the descriptors of the entire human shape. To resolve this problem, an intelligent system for human recognition under partial occlusion is proposed in this study. The hypothesis of the study is that special features of human body shape can be used to identify a person identity from a distance. Each person has different body features characteristics and hence recognizable using these special body shape features. The body shape features used are the head, shoulder, and trunk. The features can be recognized using fuzzy logic (FL) approach and used as inputs to a recognition system based on a multilayer neural network (MNN). For the developed human recognition algorithm, database has been implemented to provide efficiency in displaying, storing, and retrieval of data. Experimental results show that the developed human recognition system is capable of detecting and recognizing human subject from a distance with 98.1% and 77.5% accuracy respectively. For successful identity recognition, the average percentage coverage of occlusion for Single Direction Partial Occlusion Test (SDPOT) from the top, bottom, left, and right of specific human subjects are 0.41%, 10.41%, 8.44%, and 12.27% respectively. Whereas for Multiple Direction Partial Occlusion Test (MDPOT), an average of 40.15% coverage of occlusions is achieved with successful recognition while the lowest is found to be 11.92% and highest is 60.92%.

Intelligent Systems and Applications

Author : W.C.-C. Chu
Publisher : IOS Press
ISBN 13 : 1614994846
Total Pages : 2244 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Intelligent Systems and Applications by : W.C.-C. Chu

Download or read book Intelligent Systems and Applications written by W.C.-C. Chu and published by IOS Press. This book was released on 2015-04-14 with total page 2244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the International Computer Symposium 2014 (ICS 2014), held at Tunghai University, Taichung, Taiwan in December. ICS is a biennial symposium founded in 1973 and offers a platform for researchers, educators and professionals to exchange their discoveries and practices, to share research experiences and to discuss potential new trends in the ICT industry. Topics covered in the ICS 2014 workshops include: algorithms and computation theory; artificial intelligence and fuzzy systems; computer architecture, embedded systems, SoC and VLSI/EDA; cryptography and information security; databases, data mining, big data and information retrieval; mobile computing, wireless communications and vehicular technologies; software engineering and programming languages; healthcare and bioinformatics, among others. There was also a workshop on information technology innovation, industrial application and the Internet of Things. ICS is one of Taiwan's most prestigious international IT symposiums, and this book will be of interest to all those involved in the world of information technology.

Intelligent Decision Making Systems - Proceedings Of The 4th International Iske Conference On Intelligent Systems And Knowledge

Author : Koen Vanhoof
Publisher : World Scientific
ISBN 13 : 9814465704
Total Pages : 727 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Intelligent Decision Making Systems - Proceedings Of The 4th International Iske Conference On Intelligent Systems And Knowledge by : Koen Vanhoof

Download or read book Intelligent Decision Making Systems - Proceedings Of The 4th International Iske Conference On Intelligent Systems And Knowledge written by Koen Vanhoof and published by World Scientific. This book was released on 2009-10-23 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: ISKE2009 is the fourth in a series of conferences on Intelligent Systems and Knowledge Engineering. The ISKE2009 proceedings covers state-of-the-art research and development in various areas of Intelligent Systems and Knowledge Engineering, particularly of Intelligent Decision Making Systems.

Human Recognition at a Distance in Video

Author : Bir Bhanu
Publisher : Springer Science & Business Media
ISBN 13 : 0857291246
Total Pages : 268 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Human Recognition at a Distance in Video by : Bir Bhanu

Download or read book Human Recognition at a Distance in Video written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2010-11-05 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera. This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where the both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data. Topics and features: discusses a framework for human gait analysis based on Gait Energy Image, a spatio-temporal gait representation; evaluates the discriminating power of model-based gait features using Bayesian statistical analysis; examines methods for human recognition using 3D gait biometrics, and for moving-human detection using both color and thermal image sequences; describes approaches for the integration face profile and gait biometrics, and for super-resolution of frontal and side-view face images; introduces an objective non-reference quality evaluation algorithm for super-resolved images; presents performance comparisons between different biometrics and different fusion methods for integrating gait and super-resolved face from video. This unique and authoritative text is an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems.

Detection of partially occluded human using separate body parts classifiers

Author : Nurul Fatiha Johan
Publisher :
ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.:/5 (957 download)

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Book Synopsis Detection of partially occluded human using separate body parts classifiers by : Nurul Fatiha Johan

Download or read book Detection of partially occluded human using separate body parts classifiers written by Nurul Fatiha Johan and published by . This book was released on 2015 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of computer vision in the surveillance system has provided huge advantages in the field of security and safety system. In recent years, human detection and classification subjects have shown an increasing focus in finding specific individual such as in the case of detecting person in crowded places at a time. Detection and classification of human can be a challenging task due to the wide variability of human appearance in terms of clothing, lighting conditions and the occlusion. These constraints directly influence the effectiveness of the overall system. To cope with these problems, human detection and classification system is presented in this thesis which requires fast computations in addition of accurate results. The propose system will first detect the human in an image by using YCbCr color thresholding for skin color detection algorithm and then classify the body parts using artificial intelligent neural network classifier into specific class and finally extend the classification system with the majority voting technique in order to improve the classification performance.The first hypothesis of the research is that YCbCr skin color detection method can be used to detect and identify the exposed human body parts even with the existence of various illumination conditions and complex background. In this work, the body parts then only cover face and hands. The body features are then extracted using feature extraction technique with the dimension of region detected fixed to a standard size.These body features are then used as an input to neural network system in order to classify the body parts into specific class. Meanwhile each class consists of three classifier which is taken from the extracted body regions and separated into face classifier, right hand classifier and left hand classifier. Finally, the results of each body parts classification will be processed using majority voting technique for overall conclusion of the classification system which is robust to partial occlusion. Experimental results indicate that the human detection using YCbCr color space is capable to detect the human body with the percentage of face detection is 92%, right hand detection is 86% and left hand detection is 85%. Meanwhile the performance of ANN classification system is successful in identifying face, right hand and left hand which are 90%, 73% and 74% respectively. Whereas, the accuracy of all 9 classes (Class A until Class I) is found to be 43% and highest to be 95%. Based on the extended classification system using majority voting technique, the results have shown a bit improvement on the classification performance for all 9 classes which is the lowest is increase to 45% and the highest is increase to 100%.

Recognition of Humans and Their Activities Using Video

Author : Rama Chellappa
Publisher : Springer Nature
ISBN 13 : 303102236X
Total Pages : 171 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Recognition of Humans and Their Activities Using Video by : Rama Chellappa

Download or read book Recognition of Humans and Their Activities Using Video written by Rama Chellappa and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusion of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.

Human Action Recognition with Depth Cameras

Author : Jiang Wang
Publisher : Springer Science & Business Media
ISBN 13 : 331904561X
Total Pages : 65 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Human Action Recognition with Depth Cameras by : Jiang Wang

Download or read book Human Action Recognition with Depth Cameras written by Jiang Wang and published by Springer Science & Business Media. This book was released on 2014-01-25 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Action recognition technology has many real-world applications in human-computer interaction, surveillance, video retrieval, retirement home monitoring, and robotics. The commoditization of depth sensors has also opened up further applications that were not feasible before. This text focuses on feature representation and machine learning algorithms for action recognition from depth sensors. After presenting a comprehensive overview of the state of the art, the authors then provide in-depth descriptions of their recently developed feature representations and machine learning techniques, including lower-level depth and skeleton features, higher-level representations to model the temporal structure and human-object interactions, and feature selection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers and practitioners.

Automated Tracking System for Video Surveillance System

Author : Azhar bin Mohd Ibrahim
Publisher :
ISBN 13 :
Total Pages : 354 pages
Book Rating : 4.:/5 (957 download)

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Book Synopsis Automated Tracking System for Video Surveillance System by : Azhar bin Mohd Ibrahim

Download or read book Automated Tracking System for Video Surveillance System written by Azhar bin Mohd Ibrahim and published by . This book was released on 2013 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, video surveillance system has emerged as one of the active research area in machine vision community. This thesis intends to integrate machine vision into video surveillance system in order to enhance the accurateness and robustness of video surveillance system. To realize more robust and secure video surveillance system, an automated human and objects' tracking system is needed which can detect, classify and track human and objects even when the occlusion occurs. Hence, we proposed an automated human tracking system which includes detection, classification and tracking of human and objects (especially vehicles) in real-time surveillance system and also in solving the problem of partially occluded human by utilizing fast-computation techniques without compromising the accuracy and performance of that particular surveillance system. In this thesis, we presented the use of foreground segmentation based on adaptive background subtraction to extract foreground objects from the image. Then, to obtain correct detection, we apply shadow removal based on global contrast adjustments in RGB colour space. Next, the extracted foreground objects will be morphologically reconstructed before process of classification. In the process of classification, we utilized new set of affine moment invariants based on statistics method together with aspect ratio in order to classify the extracted foreground objects. Then, finally we track the classified human and objects using feature based tracking for five states, which are: entering, leaving, normal, merging, and splitting. The developed video surveillance system can classify human by extracting the human head-shoulder up to 60 - 70 % occlusion with background objects. Besides that, the developed system also can track the human even if occlusion occurs since we used merging and splitting cases in our tracking algorithm. The overall accuracy for our proposed surveillance system in classifying human and objects (especially car) is excellent which is at 97.51%. The overall accuracy for our surveillance system in tracking human and objects (especially car) is fine also which is at 94.74%.

Vision-Based Human Activity Recognition

Author : Zhongxu Hu
Publisher : Springer Nature
ISBN 13 : 981192290X
Total Pages : 130 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Vision-Based Human Activity Recognition by : Zhongxu Hu

Download or read book Vision-Based Human Activity Recognition written by Zhongxu Hu and published by Springer Nature. This book was released on 2022-04-22 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human–machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusive characteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies. The addressed topics include hand gestures, head pose, body activity, eye gaze, attention modeling, etc. The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers.

Intelligent System For Face Recognition Using Soft Computing

Author : R. Vinodini
Publisher : A.K. Publications
ISBN 13 : 9786997945180
Total Pages : 0 pages
Book Rating : 4.9/5 (451 download)

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Book Synopsis Intelligent System For Face Recognition Using Soft Computing by : R. Vinodini

Download or read book Intelligent System For Face Recognition Using Soft Computing written by R. Vinodini and published by A.K. Publications. This book was released on 2022-12-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Our daily life Vision plays a very important role to understand the universe in every aspect. The vision system of our body takes care of taking the information about objects to the brain and recognizes them through the training by the neural system. For this operation the complex design of the body does with very little effort. This creates a advanced feedback and response method between the world and humans. The human vision system has led inventors and engineers to build devices which can visualize like people, analyze and do decision making. The so called Artifical intelligence do more than a normal human do. This helped people to build devices and machines which can make life easier and do difficult tasks easily. The security systems in banking etc were moved from password based security to image processing method. The human machine interface needs the human face recognition system for operation. For security and image processing applications the face detection is the major block which does the main role. In biometric systems the research is focused mainly on the detection of face from a camera image and should be recognized, In crime investigations the process is difficult since the face to be detected and recognized is from a camera which records a video from which the face has to be detected using frame analyzes. The process becomes complex if the image is captured in a bad light or worst climatic conditions. So the design of methods becomes more interesting that verifies the presence of faces from dim or worst images. To overcome the problems this research is focused on new methodologies which can detect and recognize faces. Consider a system which does the pattern-recognition based on the face detection which detects the face and recognizes the face based on the feature vectors of the behavioral or physiological characteristics. The most secure way of accessing banking process is authenticated using biometrics. Since the individual verification is done using a physical and unique biometric characteristic, the conventional passwords or PINs based accessibility frauds can be reduced on corporate computer networks and the Internet because they can be guessed or stolen. Plastic cards, smart cards or computer token cards by themselves are also not secure because they can be forged, stolen or lost, or can become corrupt or unreadable. Biometric methods for identification can be widely adapted to forensics, ATM banking, time and attendance recording, access control and many other applications. The face recognition provides multiple benefits passively over the other methods. But the past methods voluntary action has the disadvantages of being tough to use as well as non adaptable for covert use as in surveillance applications. Human operators are prone to errors during Face image audit and verification during logging biometrics records. Good face images are easier to acquire than good fingerprints. About 5% of people cannot provide a fingerprint for verification. The reasons may be due to dry skin, diseased skin, old skin, cut skin, callused finger, oriental skin, bandaged finger, narrow finger, smudged sensor on reader.

Human Action Recognition for Intelligent Video Surveillance

Author : Samuel Viwe Mqaqa
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Human Action Recognition for Intelligent Video Surveillance by : Samuel Viwe Mqaqa

Download or read book Human Action Recognition for Intelligent Video Surveillance written by Samuel Viwe Mqaqa and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Crime remains a persistent threat in South Africa. This has significant implications for our ability to function as a country. As a result, there is a dire need for crime prevention strategies and measures that seek to reduce the risk of crimes occurring, and their potential harmful effects on individuals and society. Many local businesses, organisations and homes utilise video surveillance as a measure, as it can capture the crime as it is committed, thus identifying the perpetrators, or at least presenting a few suspects. In current video surveillance systems, there is no software that enables security officers to manage the data collected (i.e. automatically describe activities occurring in the video) and make it easily accessible for query and investigation. Access to the data is difficult because of the nature and size of the data. There is a need for efficiently extracting data to automatically detect, track, and recognise objects of interest, including understanding and analysing data through intelligent video surveillance. The aim of the study is to create an intelligent vision system that can identify a range of human actions in surveillance videos. This would offer security officers additional data of activities occurring in the videos, thus enabling them to access specific incidents faster and provide early detections of crimes. To achieve this, a literature study was done in the research area to reveal the prerequisites for such systems, the separate software modules designed and developed and eventually integrated into the intended system. Tests were developed to validate the system and evaluate how all the modules work together. This inevitably confirms the functionality of the fundamental components and the system in its entirety. The results have indicated that each module in the system operates successfully, can effectively extract pose estimation features, generate features for training/ classification and classify the features using a deep neural network. Further results showed that capability of the system can be applied to intelligent surveillance systems and enable security officers’ early detection of abnormal behaviour that can lead to crime.

New Approaches for Multidimensional Signal Processing

Author : Roumen Kountchev
Publisher : Springer Nature
ISBN 13 : 9811685584
Total Pages : 330 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis New Approaches for Multidimensional Signal Processing by : Roumen Kountchev

Download or read book New Approaches for Multidimensional Signal Processing written by Roumen Kountchev and published by Springer Nature. This book was released on 2022-03-21 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), held at Technical University of Sofia, Sofia, Bulgaria, during 08–10 July 2021. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.

Recognition Of Humans And Their Activities Using Video

Author : Rama Chellappa
Publisher :
ISBN 13 : 9781598293555
Total Pages : pages
Book Rating : 4.2/5 (935 download)

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Book Synopsis Recognition Of Humans And Their Activities Using Video by : Rama Chellappa

Download or read book Recognition Of Humans And Their Activities Using Video written by Rama Chellappa and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Development of a Vision-based Object Detection and Recognition System for Intelligent Vehicle

Author : Xianghong (Henry). Liu
Publisher :
ISBN 13 :
Total Pages : 154 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Development of a Vision-based Object Detection and Recognition System for Intelligent Vehicle by : Xianghong (Henry). Liu

Download or read book Development of a Vision-based Object Detection and Recognition System for Intelligent Vehicle written by Xianghong (Henry). Liu and published by . This book was released on 2000 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Real-Time Human Recognition and Tracking for Video Surveillance

Author : Fadhlan Hafiz Helmi
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783844305715
Total Pages : 136 pages
Book Rating : 4.3/5 (57 download)

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Book Synopsis Real-Time Human Recognition and Tracking for Video Surveillance by : Fadhlan Hafiz Helmi

Download or read book Real-Time Human Recognition and Tracking for Video Surveillance written by Fadhlan Hafiz Helmi and published by LAP Lambert Academic Publishing. This book was released on 2011-02 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent research in video surveillance has shown an increasing focus in creating reliable systems for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behavior analysis. In order for the system to function, it requires robust method for detecting and tracking human from a given input of video streams. In this book, a human detection technique suitable for video surveillance is presented. The techniques proposed include adaptive frame differencing for background subtraction, contrast adjustment for shadow removal, and shape based approach for human detection. The tracking technique on the other hand uses correspondence approach. Event Based Video Retrieval (EBVR) system is proposed for efficient surveillance data management and automated human recognition. Proposed human detection and tracking are integrated with EBVR into a complete automated surveillance system which produces good result and real-time performance especially in non-crowded scene and handles automated human recognition with unique ID assignment accurately. This book could serve as an introduction for new researchers in this field.

Proceedings of the XV International symposium Symorg 2016

Author : Ondrej Jaško
Publisher : University of Belgrade, Faculty of Organizational Sciences
ISBN 13 : 8676803269
Total Pages : 1520 pages
Book Rating : 4.6/5 (768 download)

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Book Synopsis Proceedings of the XV International symposium Symorg 2016 by : Ondrej Jaško

Download or read book Proceedings of the XV International symposium Symorg 2016 written by Ondrej Jaško and published by University of Belgrade, Faculty of Organizational Sciences . This book was released on 2016-06-03 with total page 1520 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multi-perspective Image and Video Processing for Human-machine Interaction

Author : Sihao Ding
Publisher :
ISBN 13 :
Total Pages : 132 pages
Book Rating : 4.:/5 (99 download)

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Book Synopsis Multi-perspective Image and Video Processing for Human-machine Interaction by : Sihao Ding

Download or read book Multi-perspective Image and Video Processing for Human-machine Interaction written by Sihao Ding and published by . This book was released on 2017 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cameras nowadays are ubiquitously deployed and widely used in our daily life, from the static ones for indoor surveillance, to the dynamic ones mounted on mobile platforms. This brings the opportunity to design and develop systems based on image and video processing, to improve the quality of human-machine interaction. Such interaction covers a wide range, including interaction with computers, robots, vehicles, and infrastructures. We use the term machine to indicate these camera-equipped devices and systems. Four main subjects are covered in this work: video-based face recognition with sequential sampling; simultaneous body part and motion identification for human-following robots; human retrieval in surveillance videos; and computer generated holograms. These four subjects are closely related and all support the long term goal of practical intelligent multimedia systems and environments for human to interact with and live in. The introduced algorithms share the same philosophy of multi perspective, which is determined by the high dimensional and ambiguous nature of image and video data. Recent development in computer vision and robotics enables advanced Human-Robot-Interaction (HRI) to become realistic. In most HRI applications, two key questions the robots face are what is the identity of human and what is the action being performed by human, i.e., “who is doing what?”. Recent literatures on video-based face, body part and motion recognition are briefly reviewed. To answer the question, two approaches called Sequential sample consensus for video-based face recognition, and simultaneous body part and motion identification for human-following robots are described. On the other hand, the statically mounted cameras in infrastructures usually serve the purpose of surveillance and produce a large amount of data. A system that utilizes encoded information in compressed domain for fast processing video data is introduced. Lastly, an approach that transforms RGB-D data into computer generated holograms, from which images of different viewpoints and focal depths can be reconstructed, is described for potential application in interactive virtual reality display.