Tracking of multiple objects with time-adjustable composite correlation filters

Alexey Ruchay; Vitaly Kober; Ilya Chernoskulov

doi:10.1117/12.2272705

19 September 2017 Tracking of multiple objects with time-adjustable composite correlation filters

Alexey Ruchay, Vitaly Kober, Ilya Chernoskulov

Proceedings Volume 10396, Applications of Digital Image Processing XL; 1039624 (2017) https://doi.org/10.1117/12.2272705
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Citation Download Citation

Alexey Ruchay, Vitaly Kober, and Ilya Chernoskulov "Tracking of multiple objects with time-adjustable composite correlation filters", Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039624 (19 September 2017); https://doi.org/10.1117/12.2272705

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