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Author : Denver Naidoo
Publisher :
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4.:/5 (122 download)
Download or read book Human Action Recognition Using Spatial-temporal Analysis written by Denver Naidoo and published by . This book was released on 2019 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ron Kimmel
Publisher : Springer
ISBN 13 : 3642193099
Total Pages : 747 pages
Book Rating : 4.6/5 (421 download)
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 747 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 geometry techniques, statistical learning methods, and modern algebraic procedures are dealt with as well.
Author : Bastian Leibe
Publisher : Springer
ISBN 13 : 3319464876
Total Pages : 909 pages
Book Rating : 4.3/5 (194 download)
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 909 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.
Author : 許彥彬
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (896 download)
Download or read book Online View-invariant Human Action Recognition Using Rgb-d Spatio-temporal Matrix written by 許彥彬 and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kiriakos N. Kutulakos
Publisher : Springer
ISBN 13 : 9783642357480
Total Pages : 357 pages
Book Rating : 4.3/5 (574 download)
Download or read book Trends and Topics in Computer Vision written by Kiriakos N. Kutulakos and published by Springer. This book was released on 2012-11-23 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 6553 and 6554 constitute the refereed post-proceedings of 7 workshops held in conjunction with the 11th European Conference on Computer Vision, held in Heraklion, Crete, Greece in September 2010. The 62 revised papers presented together with 2 invited talks were carefully reviewed and selected from numerous submissions. The first volume contains 26 revised papers and 2 invited talks selected from the following workshops: First International Workshop on Parts and Attributes; Third Workshop on Human Motion Understanding, Modeling, Capture and Animation; and International Workshop on Sign, Gesture and Activity (SGA 2010).
Author : David Hutchison
Publisher :
ISBN 13 : 9788354088684
Total Pages : 0 pages
Book Rating : 4.0/5 (886 download)
Download or read book Computer Vision - ECCV 2008 written by David Hutchison and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.
Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 9811589445
Total Pages : 315 pages
Book Rating : 4.8/5 (115 download)
Download or read book Activity and Behavior Computing written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2020-12-23 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the vision-based and sensor-based recognition and analysis of human activity and behavior, this book gathers extended versions of selected papers presented at the International Conference on Activity and Behavior Computing (ABC 2020), held in Kitakyushu, Japan on August 26 – 29, 2020. The respective chapters cover action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition in both the sensor-based and vision-based domains, making it a unique guide to the field.
Author : Jiang Wang
Publisher : Springer Science & Business Media
ISBN 13 : 331904561X
Total Pages : 65 pages
Book Rating : 4.3/5 (19 download)
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.
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Author : Maral Mesmakhosroshahi
Publisher :
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4.:/5 (817 download)
Download or read book Action Recognition Using Spatio-temporal Feature Extraction [electronic Resource] written by Maral Mesmakhosroshahi and published by . This book was released on 2012 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yun Fu
Publisher : Springer
ISBN 13 : 3319270044
Total Pages : 179 pages
Book Rating : 4.3/5 (192 download)
Download or read book Human Activity Recognition and Prediction written by Yun Fu and published by Springer. This book was released on 2015-12-23 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques.
Author : Tianyi Shen
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (125 download)
Download or read book Attention Based Human Action Recognition Model written by Tianyi Shen and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Human action recognition based on 3D skeleton data has recently attracted much interest in both industry and academia. Prevailing works are trying to solve this problem with a spatial-temporal structure that can capture the features in both space and time dimensions. However, all those works are using the input data encoded with filled zeros. It is not efficient with this dense data representation since a lot of multiplications with zeros can be ignored. Besides, zero filling encoding needs to predefine the length of all videos with a fixed number, which causes some limitations of utilizing it in real life. In this work, we adopt the graph attention network and transformer encoder to maintain the spatial-temporal structure. Our overall framework is conceived with a lightweight architecture with much less trainable parameters than state-of-the-art models, and it can deal with the sparse input data with varying lengths.
Author : Hajar Sadeghi Sokeh
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (144 download)
Download or read book Analysis of Human-centric Activities in Video Via Qualitative Spatio-temporal Reasoning written by Hajar Sadeghi Sokeh and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying qualitative spatio-temporal reasoning in video analysis is now a very active research topic in computer vision and artificial intelligence. Among all video analysis applications, monitoring and understanding human activities is of great interest. Many human activities can be understood by analysing the interaction between objects in space and time. Qualitative spatio-temporal reasoning encapsulates information that is useful for analysing huma-centric videos. This information can be represented in a very compact form involving interactions between objects of interest in the form of qualitative spatio-temporal relationships. This thesis focuses on three different aspects of interpreting human-centric videos; first introducing a representation of interactions between objects of interest, second determining which objects in the scene are relevant to the activity, and third recognising of human actions by applying the proposed representation model between human body joints and body parts. As a first contribution, we present an accurate and comprehensive model for representing several aspects of space over time from videos called "AngledCORE-9", a modified version of CORE-9 (proposed by Cohn et al. [2012]). This model is as efficient as CORE-9 and allows us to extract spatial information with much higher accuracy than previously possible. We evaluate our new knowledge representation method on a real video dataset to perform action clustering. Our next contribution is proposing a model for differentiating relevant from irrelevant objects to the human actions in the videos. The chief issue of recognising different human actions in videos using spatio-temporal features is that there are usually many moving objects in the scene. No existing method can successfully find the involved objects in the activity. The output of our system is a list of tracks for all possible objects in the video with their probabilities for being involved in the activity. The track with the highest probability is most likely to be the object with which the person is interacting. Knowing the involved object(s) in the activities is very advantageous. Since it can be used to improve the human action recognition rate. Finally, instead of looking at human-object interactions, we consider skeleton joints as the points of interest. Working on joints provides more information about how a person is moving to perform the activity. In this part of the thesis, we use videos with human skeletons in 3D captured by Kinect, MSR3D-action dataset. We use our proposed model "AngledCORE-9" to extract features and describe the temporal variation of these features frame by frame. We compare our results against some of the recent works on the same dataset.
Author : Mike Nkongolo
Publisher : GRIN Verlag
ISBN 13 : 3668642591
Total Pages : 39 pages
Book Rating : 4.6/5 (686 download)
Download or read book Demystifying Human Action Recognition in Deep Learning with Space-Time Feature Descriptors written by Mike Nkongolo and published by GRIN Verlag. This book was released on 2018-02-21 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (postgraduate) from the year 2018 in the subject Computer Science - Internet, New Technologies, , course: Machine Learning, language: English, abstract: Human Action Recognition is the task of recognizing a set of actions being performed in a video sequence. Reliably and efficiently detecting and identifying actions in video could have vast impacts in the surveillance, security, healthcare and entertainment spaces. The problem addressed in this paper is to explore different engineered spatial and temporal image and video features (and combinations thereof) for the purposes of Human Action Recognition, as well as explore different Deep Learning architectures for non-engineered features (and classification) that may be used in tandem with the handcrafted features. Further, comparisons between the different combinations of features will be made and the best, most discriminative feature set will be identified. In the paper, the development and implementation of a robust framework for Human Action Recognition was proposed. The motivation behind the proposed research is, firstly, the high effectiveness of gradient-based features as descriptors - such as HOG, HOF, and N-Jets - for video-based human action recognition. They are capable of capturing both the salient spatial and temporal information in the video sequences, while removing much of the redundant information that is not pertinent to the action. Combining these features in a hierarchical fashion further increases performance.
Author : Ahmed Elgammal
Publisher : Springer
ISBN 13 : 3540757031
Total Pages : 337 pages
Book Rating : 4.5/5 (47 download)
Download or read book Human Motion - Understanding, Modeling, Capture and Animation written by Ahmed Elgammal and published by Springer. This book was released on 2007-11-15 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second Workshop on Human Motion, HumanMotion 2007, held in Rio de Janeiro, Brazil October 2007 in conjunction with ICCV 2007. The 22 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on motion capture and pose estimation, body and limb tracking and segmentation and activity recognition.
Author : IEEE Staff
Publisher :
ISBN 13 : 9781665436793
Total Pages : pages
Book Rating : 4.4/5 (367 download)
Download or read book 2021 IEEE International Conference on Real Time Computing and Robotics (RCAR) written by IEEE Staff and published by . This book was released on 2021-07-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: (1) robotics and intelligent mechatronics systems (2) sensing, perception and control theories and their applications (3) real time imaging, image video processing and their applications (4) selected frontier areas, such as soft robotics, artificial intelligence, computational biomechanics, etc, and their applications
Author : Kuehne, Hildegard
Publisher : KIT Scientific Publishing
ISBN 13 : 3731502828
Total Pages : 208 pages
Book Rating : 4.7/5 (315 download)
Download or read book Analysis and recognition of human actions with flow features and temporal models written by Kuehne, Hildegard and published by KIT Scientific Publishing. This book was released on 2015-06-30 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained from video data can be used to interpret the underlying structural information of actions and how higher level models allow an abstraction of different motion categories beyond simple classification.
Author : Sebastiano Battiato
Publisher : Springer
ISBN 13 : 3319685600
Total Pages : 788 pages
Book Rating : 4.3/5 (196 download)
Download or read book Image Analysis and Processing - ICIAP 2017 written by Sebastiano Battiato and published by Springer. This book was released on 2017-10-11 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 10484 and 10485 constitutes the refereed proceedings of the 19th International Conference on Image Analysis and Processing, ICIAP 2017, held in Catania, Italy, in September 2017. The 138 papers presented were carefully reviewed and selected from 229 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: video analysis and understanding; pattern recognition and machine learning; multiview geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; information forensics and security; imaging for cultural heritage and archaeology; and imaging solutions for improving the quality of life.
