Proceedings ArticleDOI
Human motion analysis: a review
Jake K. Aggarwal,Qin Cai +1 more
- pp 90-102
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TLDR
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.Abstract:
Human motion analysis is receiving increasing attention from computer vision researchers. This interest is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man-machine interfaces, content-based image storage and retrieval, and video conferencing. The paper gives an overview of the various tasks involved in motion analysis of the human body. The authors focus on three major areas related to interpreting human motion: 1) motion analysis involving human body parts, 2) tracking of human motion using single or multiple cameras, and 3) recognizing human activities from image sequences. Motion analysis of human body parts involves the low-level segmentation of the human body into segments connected by joints, and recovers the 3D structure of the human body using its 2D projections over a sequence of images. Tracking human motion using a single or multiple camera focuses on higher-level processing, in which moving humans are tracked without identifying specific parts of the body structure. After successfully matching the moving human image from one frame to another in image sequences, understanding the human movements or activities comes naturally, which leads to a discussion of recognizing human activities. The review is illustrated by examples.read more
Citations
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Book ChapterDOI
Silhouette-Based method for object classification and human action recognition in video
TL;DR: An instance based machine learning algorithm and system for real-time object classification and human action recognition which can help to build intelligent surveillance systems are presented.
Patent
System for finger recognition and tracking
Anthony J. Ambrus,Kyungsuk David Lee,Andrew Campbell,David Haley,Brian Mount,Albert Robles,Dan Osborn,Shawn Crispin Wright,Nahil Sharkasi,Dave Hill,Daniel McCulloch +10 more
TL;DR: In this paper, a system and method are disclosed relating to a pipeline for generating a computer model of a target user, including a hand model of the user's hands and fingers, captured by an image sensor in a NUI system.
Patent
Robotic gesture recognition system
Larry Venetsky,Jeffrey W. Tieman +1 more
TL;DR: In this article, a gesture recognition system enabling control of a robotic device through gesture command by a user is provided, comprising a robotic unit, a video or infrared camera affixed to the robotic unit and computing means, and high and low level of control gesture recognition application code.
Proceedings ArticleDOI
Faster human activity recognition with SVM
TL;DR: Comparison of the SVM classifier system with existing classifiers using two standard datasets shows that the system is much superior in terms of the computational time, and either it surpasses or is on par with the existing recognition rates.
Patent
Tracking groups of users in motion capture system
Relja Markovic,Stephen G. Latta,Kevin Geisner,David Paul Hill,Darren Bennett,David Haley,Brian Scott Murphy,Shawn Crispin Wright +7 more
TL;DR: In this article, a motion capture system is used to provide real-time feedback to the user or group via a display and audio output, such as steering or balancing game, and a wait time can be set for activating a new person and deactivating a currently active person.
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