Multiple object tracking in color scenes using composite-matched filtering with complex constrains

Victor H. Diaz-Ramirez; Rigoberto Juarez-Salazar

doi:10.1117/12.2594941

1 August 2021 Multiple object tracking in color scenes using composite-matched filtering with complex constrains

Victor H. Diaz-Ramirez, Rigoberto Juarez-Salazar

Proceedings Volume 11841, Optics and Photonics for Information Processing XV; 118410J (2021) https://doi.org/10.1117/12.2594941
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

An algorithm for the recognition and tracking of several objects in color image sequences is presented. First, each three-channel color input image are encoded into a single-channel complex-valued image. Next, a set of prespecified targets are recognized and located in the scene by a composite matched filtering with complex constraints. Afterwards, the set of targets are tracked by adapting the matched filtering to each input image and by processing small image fragments extracted at the predicted coordinates of the targets in the scene. Results obtained with the proposed algorithm in a test image sequence are presented and analyzed in terms of efficiency of target recognition and accuracy of target tracking.

Conference Presentation

Citation Download Citation

Victor H. Diaz-Ramirez and Rigoberto Juarez-Salazar "Multiple object tracking in color scenes using composite-matched filtering with complex constrains", Proc. SPIE 11841, Optics and Photonics for Information Processing XV, 118410J (1 August 2021); https://doi.org/10.1117/12.2594941

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