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Proceedings Paper

Extraction of the characteristic points for motion detection by using color information
Author(s): Pranchalee Rattanasakornchai; Yasushi Hoshino; Toyohiko Shimizu
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Paper Abstract

The aim of this research is to extract the characteristic points for real-time automatic tracking of moving object. It is difficult to track human motion by considering and tracking all pixels of human figure, because it causes the very complex computation and consumes considerable processing time. Thus in this paper, we propose the method of extracting the characteristic points to represent the human figure. The characteristic points are the points that indicate the position of human in each frame and can be employed to track the human motion. The variance of color image data around every pixels of the object is calculated and the pixels of more than threshold variance value are extracted for the characteristic points. The points are distributed throughout the human figure by using a Characteristic Point Boundary technique which makes the points dispersed. Each characteristic point is extended to be square block in color information (that we call Matching Block) for matching correlation with the various position of the human figure in the frames followed. The employing of the characteristic points made the matching correlation to be easier and faster than the employing all pixels of the human figure.

Paper Details

Date Published: 27 February 2002
PDF: 8 pages
Proc. SPIE 4666, Real-Time Imaging VI, (27 February 2002); doi: 10.1117/12.458525
Show Author Affiliations
Pranchalee Rattanasakornchai, Nippon Institute of Technology (Japan)
Yasushi Hoshino, Nippon Institute of Technology (Japan)
Toyohiko Shimizu, Techno Scope Co., Ltd. (Japan)

Published in SPIE Proceedings Vol. 4666:
Real-Time Imaging VI
Nasser Kehtarnavaz, Editor(s)

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