Implementation of Intelligent Video Analysis System and it’s Algorithm Optimization Based on DSP

Hui Wang; Cheng Wu Liang; Ying Li

doi:10.4028/www.scientific.net/AMR.403-408.217

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Implementation of Intelligent Video Analysis System and it’s Algorithm Optimization Based on DSP
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Implementation of Intelligent Video Analysis...

Implementation of Intelligent Video Analysis System and it’s Algorithm Optimization Based on DSP

Abstract:

This paper aims to implement an distributed intelligent video analysis system based on TI multimedia Digital Signal Processor (DSP) TMS320DM642, at the same time, the algorithm optimization is also described. The intelligent video analysis system we proposed provides users with fast and precise video analysis services. The video image is transmitted to the image processing board by analog channels and IP cameras, then the DSP processing the video flow. In this system, target detection, segmentation, feature extraction, alarm and automatic tracking can be implemented. In this system, several optimization techniques are also used in algorithms, including the algorithm level optimization (ALO), the program level optimization (PLO) and the instruction level optimization (ILO). Experimental results show the exellent result in reducing the CPU load.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

217-222

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.217

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Online since:

November 2011

Authors:

Hui Wang, Cheng Wu Liang, Ying Li

Keywords:

DSP Algorithm Optimization, Intelligent Video Analysis System, Moving Target Detection, Segmentation, Target Tracking

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References

[1] Massa, V.D., M. Gori, and I. Russo. A Hybrid Architecture for Intelligent Video Surveillance. IEEE. CNF. 2005. Orlando, FL.

Google Scholar

[2] Song, J. -C.T. a.K.T., Background segmentation and its application to traffic monitoring using modified histogram. IEEE, (2004).

Google Scholar

[3] Mingying Zhao, J.Z., Shu guang Zhao and Yuan Wang, A Novel Method for Moving Object Detection in Intelligent Video Surveillance Systems. IEEE, 2006. Volume 2(3-6 Nov. 2006 ): p. Page(s): 1797 - 1800.

DOI: 10.1109/iccias.2006.295372

Google Scholar

[4] Xu, L. -Q., J.L. Landabaso, and B. Lei, Segmentation and tracking of multiple moving objects for intelligent video analysis. BT technology Journal, 2004. 22.

DOI: 10.1023/b:bttj.0000047128.53316.f2

Google Scholar

[5] Kanade, H.F. a.T., Layered Detection for Multiple Overlapping Objects. IEEE, 2002: p.6.

Google Scholar

[6] Mizoguchi, T.I.S. i.O.M., Traffic Measurement with a Roadside Vision System—Individual Tracking of Overlapped Vehicles.

Google Scholar

[7] Li Ying. Research and Implementation of object extraction in a new generation of intelligent video analysis system. M.A. thesis, UESTC. (2010).

Google Scholar

[8] Liangcheng Wu, Wang Hui. Research and Implementation of Distributed Intelligent Video Analysis System Based on DSP. ICECE2010.

Google Scholar