Journal of South China University of Technology(Natural Science) >

2015 , Vol. 43 >Issue 5: 92 - 99

DOI: https://doi.org/10.3969/j.issn.1000-565X.2015.05.015

Computer Science & Technology

Implementation and Acceleration of Object-Based Video Synopsis Algorithm

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  • 1． College of Information Science and Technology，Jinan University，Guangzhou 510632，Guangdong，China;2． School of Computer Science and Engineering，South China University of Technology，Guangzhou 510006，Guangdong，China
林龙新(1975-)，男，博士，讲师，主要从事计算机网络、高性能计算、并行和分布式计算、计算机视觉研究．

Received date: 2014-06-05

  Revised date: 2015-01-07

  Online published: 2015-05-07

Supported by

Supported by the National Natural Science Foundation of China(61402183，61272382)，the Science and Technology Planning Project of Guangdong Province(2013B010401005)，the Natural Science Foundation of Guangdong Province(S2012030006242)
and the Industry-University-Ｒesearch Joint Project of Guangdong Province and the Ministry of Education(2013B090500030)

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Abstract

As the existing object-based video synopsis algorithms cannot meet the actual demands in large-scale sur-veillance field due to the ignorance of computation efficiency，an improved algorithm，which improves the computa-tion efficiency by reducing frame rate and resolution，detecting motion segments and tracking objects on the basis of gravity center，is proposed． Furthermore，in order to utilize the computing power of CPU and GPU fully，a multi-thread strategy and a GPU programming are conducted to accelerate the execution of the algorithm． Experimental results show that the improved algorithm and the proposed acceleration strategy both improve the computation effi-ciency of video synopsis greatly．

Key words： video synopsis; graphic processing unit; surveillance

Cite this article

Lin Long-xin Liu Xiao-li Quan Yu-juan Lin Wei-wei . Implementation and Acceleration of Object-Based Video Synopsis Algorithm[J]. Journal of South China University of Technology(Natural Science), 2015 , 43(5) : 92 -99 . DOI: 10.3969/j.issn.1000-565X.2015.05.015

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