Human Action Recognition With Depth Cameras

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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.

Consumer Depth Cameras for Computer Vision

Author : Andrea Fossati
Publisher : Springer Science & Business Media
ISBN 13 : 1447146395
Total Pages : 220 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Consumer Depth Cameras for Computer Vision by : Andrea Fossati

Download or read book Consumer Depth Cameras for Computer Vision written by Andrea Fossati and published by Springer Science & Business Media. This book was released on 2012-10-04 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The potential of consumer depth cameras extends well beyond entertainment and gaming, to real-world commercial applications. This authoritative text reviews the scope and impact of this rapidly growing field, describing the most promising Kinect-based research activities, discussing significant current challenges, and showcasing exciting applications. Features: presents contributions from an international selection of preeminent authorities in their fields, from both academic and corporate research; addresses the classic problem of multi-view geometry of how to correlate images from different viewpoints to simultaneously estimate camera poses and world points; examines human pose estimation using video-rate depth images for gaming, motion capture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.

Fusion of Depth and Inertial Sensing for Human Action Recognition

Author : Chen Chen
Publisher :
ISBN 13 :
Total Pages : 260 pages
Book Rating : 4.:/5 (971 download)

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Book Synopsis Fusion of Depth and Inertial Sensing for Human Action Recognition by : Chen Chen

Download or read book Fusion of Depth and Inertial Sensing for Human Action Recognition written by Chen Chen and published by . This book was released on 2016 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human action recognition is an active research area benefitting many applications. Example applications include human-computer interaction, assistive-living, rehabilitation, and gaming. Action recognition can be broadly categorized into vision-based and inertial sensor-based. Under realistic operating conditions, it is well known that there are recognition rate limitations when using a single modality sensor due to the fact that no single sensor modality can cope with various situations that occur in practice. The hypothesis addressed in this dissertation is that by using and fusing the information from two differing modality sensors that provide 3D data (a Microsoft Kinect depth camera and a wearable inertial sensor), a more robust human action recognition is achievable. More specifically, effective and computationally efficient features have been devised and extracted from depth images. Both feature-level fusion and decision-level fusion approaches have been investigated for a dual-modality sensing incorporating a depth camera and an inertial sensor. Experimental results obtained indicate that the developed fusion approaches generate higher recognition rates compared to the situations when an individual sensor is used. Moreover, an actual working action recognition system using depth and inertial sensing has been devised which runs in real-time on laptop platforms. In addition, the developed fusion framework has been applied to a medical application.

Computer Vision – ECCV 2012

Author : Andrew Fitzgibbon
Publisher : Springer
ISBN 13 : 3642337090
Total Pages : 909 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Computer Vision – ECCV 2012 by : Andrew Fitzgibbon

Download or read book Computer Vision – ECCV 2012 written by Andrew Fitzgibbon and published by Springer. This book was released on 2012-09-26 with total page 909 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

New Trends in Image Analysis and Processing, ICIAP 2013 Workshops

Author : Alfredo Petrosino
Publisher : Springer
ISBN 13 : 3642411908
Total Pages : 584 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis New Trends in Image Analysis and Processing, ICIAP 2013 Workshops by : Alfredo Petrosino

Download or read book New Trends in Image Analysis and Processing, ICIAP 2013 Workshops written by Alfredo Petrosino and published by Springer. This book was released on 2013-09-03 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the workshops held with the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The proceedings include papers from the five individual workshops focusing on topics of interest to the pattern recognition, image analysis, and computer vision communities, exploring emergent research directions or spotlight cross-disciplinary links with related fields and / or application areas.

Computer Vision and Machine Learning with RGB-D Sensors

Author : Ling Shao
Publisher : Springer
ISBN 13 : 3319086510
Total Pages : 313 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Computer Vision and Machine Learning with RGB-D Sensors by : Ling Shao

Download or read book Computer Vision and Machine Learning with RGB-D Sensors written by Ling Shao and published by Springer. This book was released on 2014-07-14 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interdisciplinary selection of cutting-edge research on RGB-D based computer vision. Features: discusses the calibration of color and depth cameras, the reduction of noise on depth maps and methods for capturing human performance in 3D; reviews a selection of applications which use RGB-D information to reconstruct human figures, evaluate energy consumption and obtain accurate action classification; presents an approach for 3D object retrieval and for the reconstruction of gas flow from multiple Kinect cameras; describes an RGB-D computer vision system designed to assist the visually impaired and another for smart-environment sensing to assist elderly and disabled people; examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial constraints for hand parsing; proposes a new classifier architecture for real-time hand pose recognition and a novel hand segmentation and gesture recognition system.

Human Detection and Action Recognition Using Depth Information by Kinect

Author : Lu Xia
Publisher :
ISBN 13 :
Total Pages : 104 pages
Book Rating : 4.:/5 (798 download)

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Book Synopsis Human Detection and Action Recognition Using Depth Information by Kinect by : Lu Xia

Download or read book Human Detection and Action Recognition Using Depth Information by Kinect written by Lu Xia and published by . This book was released on 2012 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional computer vision algorithms depend on information taken by visible-light cameras. But there are inherent limitations of this data source, e.g. they are sensitive to illumination changes, occlusions and background clutter. Range sensors give us 3D structural information of the scene and it's robust to the change of color and illumination. In this thesis, we present a series of approaches which are developed using the depth information by Kinect to address the issues regarding human detection and action recognition. Taking the depth information, the basic problem we consider is to detect humans in the scene. We propose a model based approach, which is comprised of a 2D head contour detector and a 3D head surface detector. We propose a segmentation scheme to segment the human from the surroundings based on the detection point and extract the whole body of the subject. We also explore the tracking algorithm based on our detection result. The methods are tested on a dataset we collected and present superior results over the existing algorithms. With the detection result, we further studied on recognizing their actions. We present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D skeletal joint locations from Kinect depth maps using Shotton et al.'s method. The HOJ3D computed from the action depth sequences are reprojected using LDA and then clustered into k posture visual words, which represent the prototypical poses of actions. The temporal evolutions of those visual words are modeled by discrete hidden Markov models (HMMs). In addition, due to the design of our spherical coordinate system and the robust 3D skeleton estimation from Kinect, our method demonstrates significant view invariance on our 3D action dataset. Our dataset is composed of 200 3D sequences of 10 indoor activities performed by 10 individuals in varied views. Our method is real-time and achieves superior results on the challenging 3D action dataset. We also tested our algorithm on the MSR Action3D dataset and our algorithm outperforms existing algorithm on most of the cases.

Real-Time Image and Video Processing

Author : Nasser Kehtarnavaz
Publisher : Springer Nature
ISBN 13 : 3031022408
Total Pages : 97 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Real-Time Image and Video Processing by : Nasser Kehtarnavaz

Download or read book Real-Time Image and Video Processing written by Nasser Kehtarnavaz and published by Springer Nature. This book was released on 2022-06-01 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ to design a real-time image or video processing system.

Deep Learning for Human Activity Recognition

Author : Xiaoli Li
Publisher : Springer Nature
ISBN 13 : 9811605750
Total Pages : 139 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Deep Learning for Human Activity Recognition by : Xiaoli Li

Download or read book Deep Learning for Human Activity Recognition written by Xiaoli Li and published by Springer Nature. This book was released on 2021-02-17 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.

A Unified Framework for Human Activity Detection and Recognition for Video Surveillance Using Dezert Smarandache Theory

Author : Srilatha V.
Publisher : Infinite Study
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4./5 ( download)

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Book Synopsis A Unified Framework for Human Activity Detection and Recognition for Video Surveillance Using Dezert Smarandache Theory by : Srilatha V.

Download or read book A Unified Framework for Human Activity Detection and Recognition for Video Surveillance Using Dezert Smarandache Theory written by Srilatha V. and published by Infinite Study. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trustworthy contextual data of human action recognition of remotely monitored person who requires medical care should be generated to avoid hazardous situation and also to provide ubiquitous services in home-based care. It is difficult for numerous reasons. At first level, the data obtained from heterogeneous source have different level of uncertainty. Second level generated information can be corrupted due to simultaneous operations. In this paper human action recognition can be done based on two different modality consisting of fully featured camera and wearable sensor.

Computer Vision - ACCV 2010

Author : Ron Kimmel
Publisher : Springer
ISBN 13 : 3642192823
Total Pages : 742 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computer Vision - ACCV 2010 by : Ron Kimmel

Download or read book Computer Vision - ACCV 2010 written by Ron Kimmel and published by Springer. This book was released on 2011-02-28 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 6492-6495 constitutes the thoroughly refereed post-proceedings of the 10th Asian Conference on Computer Vision, ACCV 2009, held in Queenstown, New Zealand in November 2010. All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical methods coupled with computational techniques that enhance and improve images, and capturing and analyzing the world's geometry while preparing the higher level image and shape understanding. Novel gemometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.

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.

Feature Extraction and Recognition for Human Action Recognition

Author : Jiajia Luo (Computer engineer)
Publisher :
ISBN 13 :
Total Pages : 143 pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis Feature Extraction and Recognition for Human Action Recognition by : Jiajia Luo (Computer engineer)

Download or read book Feature Extraction and Recognition for Human Action Recognition written by Jiajia Luo (Computer engineer) and published by . This book was released on 2014 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to automatically label videos containing human motions is the task of human action recognition. Traditional human action recognition algorithms use the RGB videos as input, and it is a challenging task because of the large intra-class variations of actions, cluttered background, possible camera movement, and illumination variations. Recently, the introduction of cost-effective depth cameras provides a new possibility to address difficult issues. However, it also brings new challenges such as noisy depth maps and time alignment. In this dissertation, effective and computationally efficient feature extraction and recognition algorithms are proposed for human action recognition. At the feature extraction step, two novel spatial-temporal feature descriptors are proposed which can be combined with local feature detectors. The first proposed descriptor is the Shape and Motion Local Ternary Pattern (SMltp) descriptor which can dramatically reduced the number of features generated by dense sampling without sacrificing the accuracy. In addition, the Center-Symmetric Motion Local Ternary Pattern (CS-Mltp) descriptor is proposed, which describes the spatial and temporal gradients-like features. Both descriptors (SMltp and CS-Mltp) take advantage of the Local Binary Pattern (LBP) texture operator in terms of tolerance to illumination change, robustness in homogeneous region and computational efficiency. For better feature representation, this dissertation presents a new Dictionary Learning (DL) method to learn an overcomplete set of representative vectors (atoms) so that any input feature can be approximated by a linear combination of these atoms with minimum reconstruction error. Instead of simultaneously learning one overcomplete dictionary for all classes, we learn class-specific sub-dictionaries to increase the discrimination. In addition, the group sparsity and the geometry constraint are added to the learning process to further increase the discriminative power, so that features are well reconstructed by atoms from the same class and features from the same class with high similarity will be forced to have similar coefficients. To evaluate the proposed algorithms, three applications including single view action recognition, distributed multi-view action recognition, and RGB-D action recognition have been explored. Experimental results on benchmark datasets and comparative analyses with the state-of-the-art methods show the effectiveness and merits of the proposed algorithms.

Computer Vision – ECCV 2016

Author : Bastian Leibe
Publisher : Springer
ISBN 13 : 3319464485
Total Pages : 896 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Computer Vision – ECCV 2016 by : Bastian Leibe

Download or read book Computer Vision – ECCV 2016 written by Bastian Leibe and published by Springer. This book was released on 2016-09-16 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action, activity and tracking; 3D; and 9 poster sessions.

Motion Tracking and Gesture Recognition

Author : Carlos Travieso-Gonzalez
Publisher : BoD – Books on Demand
ISBN 13 : 9535133772
Total Pages : 175 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Motion Tracking and Gesture Recognition by : Carlos Travieso-Gonzalez

Download or read book Motion Tracking and Gesture Recognition written by Carlos Travieso-Gonzalez and published by BoD – Books on Demand. This book was released on 2017-07-12 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the technological advances allow developing many applications on different fields. In this book Motion Tracking and Gesture Recognition, two important fields are shown. Motion tracking is observed by a hand-tracking system for surgical training, an approach based on detection of dangerous situation by the prediction of moving objects, an approach based on human motion detection results and preliminary environmental information to build a long-term context model to describe and predict human activities, and a review about multispeaker tracking on different modalities. On the other hand, gesture recognition is shown by a gait recognition approach using Kinect sensor, a study of different methodologies for studying gesture recognition on depth images, and a review about human action recognition and the details about a particular technique based on a sensor of visible range and with depth information.

Proceedings of 2nd International Conference on Computer Vision & Image Processing

Author : Bidyut B. Chaudhuri
Publisher : Springer
ISBN 13 : 9811078955
Total Pages : 427 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Proceedings of 2nd International Conference on Computer Vision & Image Processing by : Bidyut B. Chaudhuri

Download or read book Proceedings of 2nd International Conference on Computer Vision & Image Processing written by Bidyut B. Chaudhuri and published by Springer. This book was released on 2018-04-11 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.

Intelligent Computing Theories and Methodologies

Author : De-Shuang Huang
Publisher : Springer
ISBN 13 : 3319221809
Total Pages : 782 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Intelligent Computing Theories and Methodologies by : De-Shuang Huang

Download or read book Intelligent Computing Theories and Methodologies written by De-Shuang Huang and published by Springer. This book was released on 2015-08-10 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.