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Proceedings Paper

Real-time object tracking with correlation filtering and state prediction
Author(s): Viridiana Contreras; Victor H. Díaz-Ramírez; Vitaly Kober; Juan J. Tapia-Armenta
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Paper Abstract

A real-time tracking system based on adaptive correlation filtering and state prediction is proposed. The system is able to estimate at high-rate the position of multiple targets within the observed scene by taking into account information of past and present scene-frames. The position of the targets in the current frame is estimated with the help of a bank of composite correlation filters applied to several small regions taken from the observed scene. These small regions are updated in each frame according to information from a state predictor based on the motion model of targets in a twodimensional plane. The proposed system is implemented on a graphics processing unit to take advantage of massive parallelism. Computer simulation results obtained with the proposed system are presented and discussed in terms of tracking accuracy and real-time operation efficiency.

Paper Details

Date Published: 26 September 2013
PDF: 8 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885619 (26 September 2013); doi: 10.1117/12.2024363
Show Author Affiliations
Viridiana Contreras, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Victor H. Díaz-Ramírez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)
Juan J. Tapia-Armenta, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)


Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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