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

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A real-time adaptive segmentation method based on new distance features is proposed for the binary centroid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts; clutters with target-like intensity from entering a tracking window and has low computational complexity for real-time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to other segmentation methods based on the intensity feature only in target detection and tracking.
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Issue Date
2000-12
Language
English
Article Type
Article
Keywords

OPTICAL-FLOW ESTIMATION; PRECISION TRACKING; SEGMENTATION; ALGORITHM; SENSORS; MOTION

Citation

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E83D, no.12, pp.2142 - 2151

ISSN
0916-8532
URI
http://hdl.handle.net/10203/75592
Appears in Collection
EE-Journal Papers(저널논문)
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