TY - GEN
T1 - Parallel combination of correlation and compressive trackers on visual object tracking
AU - Yang, Mengzhao
AU - Lai, Ru
AU - Bi, Luzheng
N1 - Publisher Copyright:
© 2016, Fuji Technology Press. All rights reserved.
PY - 2016
Y1 - 2016
N2 - Even though numerous state-of-the-art methods have been developed, there still hardly exists single approach that can handle all the scenarios. A novel parallel combination of discriminative scale space tracker (DSST) and compressive tracker is proposed in this paper. In addition, Peak to Sidelobe Ratio judgment mechanism is addressed to further improve the robustness of DSST in long-term occlusion. We compare our method with 13 state-of-the-art tracking algorithms. The evaluation results show that our approach has significant improvement over state-of-the-art approaches.
AB - Even though numerous state-of-the-art methods have been developed, there still hardly exists single approach that can handle all the scenarios. A novel parallel combination of discriminative scale space tracker (DSST) and compressive tracker is proposed in this paper. In addition, Peak to Sidelobe Ratio judgment mechanism is addressed to further improve the robustness of DSST in long-term occlusion. We compare our method with 13 state-of-the-art tracking algorithms. The evaluation results show that our approach has significant improvement over state-of-the-art approaches.
KW - Correlation tracking
KW - PSR judgment mechanism
KW - Parallel correlation tracker
UR - https://www.scopus.com/pages/publications/84997820991
M3 - Conference contribution
AN - SCOPUS:84997820991
T3 - ISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications
BT - ISCIIA 2016 - 7th International Symposium on Computational Intelligence and Industrial Applications
PB - Fuji Technology Press
T2 - 7th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2016
Y2 - 3 November 2016 through 6 November 2016
ER -