Abstract
A novel tracking algorithm based on matching of filtered histograms of oriented gradients (HOGs) computed in circular sliding windows is proposed. The algorithm is robust to geometrical distortions of a target as well as invariant to illumination changes in scene frames. The proposed algorithm is composed by the following steps: first, a fragment of interest is extracted from a current frame around predicted coordinates of the target location; second, the fragment is preprocessed to correct illumination changes; third, a geometric structure consisting of disks to describe the target is constructed; finally, filtered histograms of oriented gradients computed over geometric structures of the fragment and template are matched. The performance of the proposed algorithm is compared with that of similar state-of-the-art techniques for target tracking in terms of objective metrics.
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Miramontes-Jaramillo, D., Kober, V., Díaz-Ram, V.H. (2014). A Robust Tracking Algorithm Based on HOGs Descriptor. In: Bayro-Corrochano, E., Hancock, E. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2014. Lecture Notes in Computer Science, vol 8827. Springer, Cham. https://doi.org/10.1007/978-3-319-12568-8_7
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DOI: https://doi.org/10.1007/978-3-319-12568-8_7
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