IMPROVING THE SPEED AND ROBUSTNESS OF PARTIAL OCCLUSION INVARIANT SPARSITY-BASED ALGORITHM OF VISUAL TRACKING WITH COARSE AND FINE APPEARANCE MODELING

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TARAGHIKHAH MOHAMMAD; Amirfattahi Rassoul; MEMAR MOGHADAM ALIREZA

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Journal: ELECTRONIC INDUSTRIES Year:2017 | Volume:7 | Issue:4 Page(s): 101-107

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Title

IMPROVING THE SPEED AND ROBUSTNESS OF PARTIAL OCCLUSION INVARIANT SPARSITY-BASED ALGORITHM OF VISUAL TRACKING WITH COARSE AND FINE APPEARANCE MODELING

Author(s)

TARAGHIKHAH MOHAMMAD | Amirfattahi Rassoul | MEMAR MOGHADAM ALIREZA | Issue Writer Certificate

Keywords

PRINCIPAL COMPONENT ANALYSIS (PCA)Q2

PARTIAL OCCLUSIONQ2

SPARSE REPRESENTATIONQ2

VISUAL TRACKINGQ2

APPEARANCE MODELINGQ2

Abstract

The main goal of this paper is to find a PARTIAL OCCLUSION robust tracking algorithm. In addition, this algorithm should have superior performance against other tracking challenges and should have real time operation. In according to these reasons, we propose a two stage tracker based on coarse and fine SPARSE REPRESENTATION. At first, target object appearance modeled by a dictionary consisting of PCA basis vectors and trivial templates. We apply APG_L1 solving method for this modeling. We decrease number of trivial templates to decrease computation load such that we consider one trivial template for every a by a pixels. Then, best candidates in previous stage are evaluated by PCA_L1 method in order to determine the last candidate. We compare this tracker with 5 different popular algorithms and 7 new sparse trackers using 12 datasets. We conclude that proposed tracker with 14.2 frame per second, 10.2 average pixel center error, 0.7475 average overlapped rate, has a better performance in comparison with other trackers. And therefore simulations show that proposed tracker has a better performance in both accuracy and speed in comparison to other algorithms.

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APA: Copy

TARAGHIKHAH, MOHAMMAD, Amirfattahi, Rassoul, & MEMAR MOGHADAM, ALIREZA. (2017). IMPROVING THE SPEED AND ROBUSTNESS OF PARTIAL OCCLUSION INVARIANT SPARSITY-BASED ALGORITHM OF VISUAL TRACKING WITH COARSE AND FINE APPEARANCE MODELING. ELECTRONIC INDUSTRIES, 7(4), 101-107. SID. https://sid.ir/paper/229546/en

Vancouver: Copy

TARAGHIKHAH MOHAMMAD, Amirfattahi Rassoul, MEMAR MOGHADAM ALIREZA. IMPROVING THE SPEED AND ROBUSTNESS OF PARTIAL OCCLUSION INVARIANT SPARSITY-BASED ALGORITHM OF VISUAL TRACKING WITH COARSE AND FINE APPEARANCE MODELING. ELECTRONIC INDUSTRIES[Internet]. 2017;7(4):101-107. Available from: https://sid.ir/paper/229546/en

IEEE: Copy

MOHAMMAD TARAGHIKHAH, Rassoul Amirfattahi, and ALIREZA MEMAR MOGHADAM, “IMPROVING THE SPEED AND ROBUSTNESS OF PARTIAL OCCLUSION INVARIANT SPARSITY-BASED ALGORITHM OF VISUAL TRACKING WITH COARSE AND FINE APPEARANCE MODELING,” ELECTRONIC INDUSTRIES, vol. 7, no. 4, pp. 101–107, 2017, [Online]. Available: https://sid.ir/paper/229546/en

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