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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Journal ArticleDOI
Analyzing Body Movements within the Laban Effort Framework Using a Single Accelerometer
Basel Kikhia,Miguel Correas Gomez,Lara Lorna Jimenez,Josef Hallberg,Niklas Karvonen,Kåre Synnes +5 more
TL;DR: The wrist placement was found to be the best single location to record data for detecting Strong—Light body movements using the Random Forest classifier, and the chest placement yielded the best results for detecting Sudden—Sustained body movements Using the Random forest classifier.
Book ChapterDOI
Enabling Unconstrained Omnidirectional Walking Through Virtual Environments: An Overview of the CyberWalk Project
TL;DR: This chapter focuses on the human behavioral research that was conducted to understand human locomotion from the perspective of specifying design criteria for the CyberWalk, and describes research on the biomechanics of human walking.
Proceedings ArticleDOI
A low-cost real-time tracker of live sport events
TL;DR: A low-cost prototype system for real-time tracking of players during a sport event, testing on recordings of a squash singles match, that recovers the position of each of the players on each frame and presents the results in real time on the computer screen.
Patent
Predicting joint positions
TL;DR: In this article, a random decision forest is trained to enable image elements to vote for the positions of one or more joints and the training process may use training images of bodies with specified joint positions.
Patent
Systems And Methods For Projecting Images Onto An Object
Yu Sun,Adrian S. Johnson +1 more
TL;DR: In this article, a method for projecting images on a subject includes determining a pose and position of the subject, adjusting a 3D model of an anatomical structure of a subject to match the determined pose, and projecting an image of the anatomical structure onto the subject in registration with the actual anatomical structure.
References
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Proceedings ArticleDOI
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