Title :
Human motion analysis: a review
Author :
Aggarwal, J.K. ; Cai, Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
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
Keywords :
biomechanics; computer vision; image segmentation; image sequences; motion estimation; reviews; surveillance; tracking; user interfaces; 2D projections; 3D structure recovery; athletic performance analysis; cameras; computer vision; content-based image retrieval; content-based image storage; higher-level processing; human activity recognition; human body parts; human motion analysis; human motion tracking; image sequences; joints; low-level segmentation; man-machine interfaces; moving human image matching; surveillance; video conferencing; Application software; Cameras; Computer vision; Humans; Image recognition; Image segmentation; Image sequences; Image storage; Motion analysis; Tracking;
Conference_Titel :
Nonrigid and Articulated Motion Workshop, 1997. Proceedings., IEEE
Conference_Location :
San Juan
Print_ISBN :
0-8186-8040-7
DOI :
10.1109/NAMW.1997.609859