TY - GEN
T1 - A robust tracking algorithm based on HOGs descriptor
AU - Miramontes-Jaramillo, Daniel
AU - Kober, Vitaly
AU - Díaz-Ramírez, Víctor Hugo
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84949120618&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-12568-8_7
DO - 10.1007/978-3-319-12568-8_7
M3 - Contribución a la conferencia
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 54
EP - 61
BT - Progress in Pattern Recognition Image Analysis, Computer Vision and Applications - 19th Iberoamerican Congress, CIARP 2014, Proceedings
A2 - Bayro-Corrochano, Eduardo
A2 - Hancock, Edwin
PB - Springer Verlag
T2 - 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014
Y2 - 2 November 2014 through 5 November 2014
ER -