DocumentCode :
780710
Title :
First Sight: A human body outline labeling system
Author :
Leung, Maylor K. ; Yang, Yee-Hong
Author_Institution :
Div. of Comput. Eng., Nanyang Technol. Univ., Singapore
Volume :
17
Issue :
4
fYear :
1995
fDate :
4/1/1995 12:00:00 AM
Firstpage :
359
Lastpage :
377
Abstract :
First Sight, a vision system in labeling the outline of a moving human body, is proposed in this paper. The emphasis of First Sight is on the analysis of motion information gathered solely from the outline of a moving human object. Two main processes are implemented in First Sight. The first process uses a novel technique to extract the outline of a moving human body from an image sequence. The second process, which employs a new human body model, interprets the outline and produces a labeled two-dimensional human body stick figure for each frame of the image sequence. Extensive knowledge of the structure, shape, and posture of the human body is used in the model. The experimental results of applying the technique on unedited image sequences with self-occlusions and missing boundary lines are encouraging
Keywords :
biomechanics; edge detection; image segmentation; image sequences; motion estimation; First Sight; human body outline labeling system; image sequence; labeled two-dimensional human body stick figure; moving human body; posture; self-occlusions; shape; Biological system modeling; Data mining; Humans; Image motion analysis; Image sequences; Information analysis; Labeling; Machine vision; Motion analysis; Shape;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.385981
Filename :
385981
Link To Document :
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