[1] Zhu Zhou, Lu Xiaobo, Video-based vehicle tracking considering occlusion [J]. Journal of Southeast University (English Edition), 2015, 31 (2): 266-271. [doi:10.3969/j.issn.1003-7985.2015.02.019]

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Video-based vehicle tracking considering occlusion()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

31

Issue:

2015 2

Page:

266-271

Research Field:

Traffic and Transportation Engineering

Publishing date:

2015-06-20

Info

Title:

Video-based vehicle tracking considering occlusion

Author(s):

Zhu Zhou¹;  3;  Lu Xiaobo²;  3

¹School of Transportation, Southeast University, Nanjing 210096, China
²School of Automation, Southeast University, Nanjing 210096, China
³Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education, Southeast University, Nanjing 210096, China

Keywords:

vehicle tracking;  occlusion processing;  motion vector;  Markov random field

PACS:

U491.1

DOI:

10.3969/j.issn.1003-7985.2015.02.019

Abstract:

To track the vehicles under occlusion, a vehicle tracking algorithm based on blocks is proposed. The target vehicle is divided into several blocks of uniform size, in which the edge block can overlap its neighboring blocks. All the blocks’ motion vectors are estimated, and the noise motion vectors are detected and adjusted to decrease the error of motion vector estimation. Then, by moving the blocks based on the adjusted motion vectors, the vehicle is tracked. Aiming at the occlusion between vehicles, a Markov random field is established to describe the relationship between the blocks in the blocked regions. The neighborhood of blocks is defined using the Euclidean distance. An energy function is defined based on the blocks’ histograms and optimized by the simulated annealing algorithm to segment the occlusion region. Experimental results demonstrate that the proposed algorithm can track vehicles under occlusion accurately.

References:

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Memo

Memo:

Biographies: Zhu Zhou(1984—), male, graduate; Lu Xiaobo(corresponding author), male, doctor, professor, xblu@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.60972001, 61374194).
Citation: .Zhu Zhou, Lu Xiaobo. Video-based vehicle tracking considering occlusion[J].Journal of Southeast University(English Edition), 2015, 31(2):266-271.[doi:10.3969/j.issn.1003-7985.2015.02.019]

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