Robust centroid target tracker based on novel distance features in cluttered image sequences

Jae-Soo Cho; Dae-Joung Kim; Dong-Jo Park

doi:10.1117/12.386601

30 May 2000 Robust centroid target tracker based on novel distance features in cluttered image sequences

Jae-Soo Cho, Dae-Joung Kim, Dong-Jo Park

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386601
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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.

Citation Download Citation

Jae-Soo Cho, Dae-Joung Kim, and Dong-Jo Park "Robust centroid target tracker based on novel distance features in cluttered image sequences", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386601

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