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Proceedings Paper

Tracking of multiple objects with time-adjustable composite correlation filters
Author(s): Alexey Ruchay; Vitaly Kober; Ilya Chernoskulov
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Paper Abstract

An algorithm for tracking of multiple objects in video based on time-adjustable adaptive composite correlation filtering is proposed. For each frame a bank of composite correlation filters are designed in such a manner to provide invariance to pose, occlusion, clutter, and illumination changes. The filters are synthesized with the help of an iterative algorithm, which optimizes the discrimination capability for each object. The filters are adapted to the objects changes online using information from the current and past scene frames. Results obtained with the proposed algorithm using real-life scenes are presented and compared with those obtained with state-of-the-art tracking methods in terms of detection efficiency, tracking accuracy, and speed of processing.

Paper Details

Date Published: 19 September 2017
PDF: 6 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039624 (19 September 2017); doi: 10.1117/12.2272705
Show Author Affiliations
Alexey Ruchay, Chelyabinsk State Univ. (Russian Federation)
Vitaly Kober, Chelyabinsk State Univ. (Russian Federation)
CICESE (Mexico)
Ilya Chernoskulov, Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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