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Proceedings Paper

Moving information extraction for moving-object tracking
Author(s): Hyung-Bum Kim; Min-Hyuk Chang; Sung-Kwan Kang; Jong-Hun Chun; Jong-An Park
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Paper Abstract

Tracking of moving objects is one of the application techniques with complex processing for understanding input images. In this paper, we have considered optical flow which is one of moving object tracking algorithms. We proposed a new method using the Combinatorial Hough Transform (CHT) and Voting Accumulation in order to find optimal constraint lines. Also, we used the logical operation in order to release the operation time. The proposed method can extract the optical flow of the moving object. Then, the moving information was computed using the extracted optical flow. We have simulated the proposed method using test images including the noise.

Paper Details

Date Published: 11 October 2000
PDF: 9 pages
Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); doi: 10.1117/12.403802
Show Author Affiliations
Hyung-Bum Kim, Chosun Univ. (South Korea)
Min-Hyuk Chang, Chosun Univ. (South Korea)
Sung-Kwan Kang, Chosun Univ. (South Korea)
Jong-Hun Chun, Changhung Provincial College (South Korea)
Jong-An Park, Chosun Univ. (South Korea)


Published in SPIE Proceedings Vol. 4210:
Internet Multimedia Management Systems
John R. Smith; Chinh Le; Sethuraman Panchanathan; C.-C. Jay Kuo, Editor(s)

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