Journal ArticleDOI
The recognition of human movement using temporal templates
Aaron F. Bobick,James W. Davis +1 more
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TLDR
A view-based approach to the representation and recognition of human movement is presented, and a recognition method matching temporal templates against stored instances of views of known actions is developed.Abstract:
A view-based approach to the representation and recognition of human movement is presented. The basis of the representation is a temporal template-a static vector-image where the vector value at each point is a function of the motion properties at the corresponding spatial location in an image sequence. Using aerobics exercises as a test domain, we explore the representational power of a simple, two component version of the templates: The first value is a binary value indicating the presence of motion and the second value is a function of the recency of motion in a sequence. We then develop a recognition method matching temporal templates against stored instances of views of known actions. The method automatically performs temporal segmentation, is invariant to linear changes in speed, and runs in real-time on standard platforms.read more
Citations
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Proceedings ArticleDOI
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Joao Carreira,Andrew Zisserman +1 more
TL;DR: In this article, a Two-Stream Inflated 3D ConvNet (I3D) is proposed to learn seamless spatio-temporal feature extractors from video while leveraging successful ImageNet architecture designs and their parameters.
Journal ArticleDOI
A survey of advances in vision-based human motion capture and analysis
TL;DR: This survey reviews recent trends in video-based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement.
Journal ArticleDOI
A survey on visual surveillance of object motion and behaviors
TL;DR: This paper reviews recent developments and general strategies of the processing framework of visual surveillance in dynamic scenes, and analyzes possible research directions, e.g., occlusion handling, a combination of two and three-dimensional tracking, and fusion of information from multiple sensors, and remote surveillance.
Journal ArticleDOI
A survey on vision-based human action recognition
TL;DR: A detailed overview of current advances in vision-based human action recognition is provided, including a discussion of limitations of the state of the art and outline promising directions of research.
Proceedings ArticleDOI
Actions as space-time shapes
TL;DR: The method is fast, does not require video alignment and is applicable in many scenarios where the background is known, and the robustness of the method is demonstrated to partial occlusions, non-rigid deformations, significant changes in scale and viewpoint, high irregularities in the performance of an action and low quality video.
References
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Visual pattern recognition by moment invariants
TL;DR: It is shown that recognition of geometrical patterns and alphabetical characters independently of position, size and orientation can be accomplished and it is indicated that generalization is possible to include invariance with parallel projection.
Proceedings ArticleDOI
Human motion analysis: a review
Jake K. Aggarwal,Qin Cai +1 more
TL;DR: The paper gives an overview of the various tasks involved in motion analysis of the human body, and focuses on three major areas related to interpreting human motion: motion analysis involving human body parts, tracking of human motion using single or multiple cameras, and recognizing human activities from image sequences.
Journal ArticleDOI
Human Motion Analysis
Jake K. Aggarwal,Qin Cai +1 more
TL;DR: An overview of the various tasks involved in motion analysis of the human body is given and three major areas related to interpreting human motion are focused on: motion analysis involving human body parts, tracking a moving human from a single view or multiple camera perspectives, and recognizing human activities from image sequences.
Proceedings ArticleDOI
Recognizing human action in time-sequential images using hidden Markov model
Junji Yamato,J. Ohya,K. Ishii +2 more
TL;DR: The recognition rate is improved by increasing the number of people used to generate the training data, indicating the possibility of establishing a person-independent action recognizer.
Short Papers Coding, Analysis, Interpretation, and Recognition of Facial Expressions
Irfan Essa,Alex Pentland +1 more
TL;DR: In this paper, a computer vision system for observing facial motion by using an optimal estimation optical flow method coupled with geometric, physical and motion-based dynamic models describing the facial structure is described.