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Proceedings Paper

Robust centroid target tracker based on novel distance features in cluttered image sequences
Author(s): Jae-Soo Cho; Dae-Joung Kim; Dong-Jo Park
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Paper Abstract

A real-time adaptive segmentation method based on new distance features is proposed for the centroid tracker. These novel features are distances from the center point of a predicted target to each pixel by a tracking filter in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering the tracking window with low computational complexity for real- time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to the other segmentation methods based on the intensity feature only in target detection and tracking.

Paper Details

Date Published: 30 May 2000
PDF: 12 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386601
Show Author Affiliations
Jae-Soo Cho, Korea Advanced Institute of Science and Technology (South Korea)
Dae-Joung Kim, Korea Advanced Institute of Science and Technology (South Korea)
Dong-Jo Park, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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