Real-Time Target Tracking Based on SOPC

Abstract:

The Mean Shift is an algorithm which is a non-parametric probability density gradient estimation. It can be widely applied to the moving target tracking. This paper presents a target tracking method of mean shift based on SOPC. Through designing the parallel algorithm of the system, to take into account the cost of FPGA hardware and complexity of the model, we improve the real-time of the target tracking. Meanwhile, through modeling based on DSP Builder, instead of preparing FPGA hardware description language code, we reduce system designing complexity and improve the designing efficiency of the electronic system . The results show that the real-time of the target tracking is proportional to the Parallelism of design, and the system can meet with the real-time of high-speed visual tracking.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 7035-7041
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.7035
• Online since: January 2012
• Authors: Zhong Li, Jian Guo Mao, Xue Wang Wu, Wen Yu Lu, Guang Min Lu
• Keywords: Field-Programmable Gate Array (FPGA), Mean-Shift, Parallel, Real-Time, SOPC

References

[1] Ruiling Duan, Qingxiang Li, yuhe Li. visual target tracking Methods based on Mean shift [J]. Optical Technology，2005, 31(3): 415-419.

[2] K Fukunaga, L D Hostetler. The estimation of the gradient of a density function, with applications in pattern recognition [J]. IEEE Transaction on Information Theory (S0018- 9448), 1975, 21 (1): 32-40.

DOI: 10.1109/tit.1975.1055330

[3] Porikli, F., Achieving real-time object detection and tracking under extreme conditions [J]. Journal of Real-Time Image Processing, 2006: 33-40.

DOI: 10.1007/s11554-006-0011-z

[4] Usman Ali，M. B. MalikKhalid Munawar . FPGA/soft-processor based real-time object tracking system[J]. , IEEE SPL. 5th Southern Conference on Programmable Logic, 2009: 33 - 37.

DOI: 10.1109/spl.2009.4914888

[5] Yuanyao Lu, Jingzhong Wang, Fengwei Chang, Development of Infrared Real-time Imaging System Based on SOPC. IEEE International Conference on Embedded Software and Systems. 2008: 63-68.

[6] Altera Corp. NoisII Processor Reference Handbook. Ver. 1. 2. (2004).

[7] Comaniciu, D., Meer, P.. Mean Shift analysis and applications [A] ．Proceedings IEEE International Conference on Computer Vision[C], 1999: 1197-1203.

DOI: 10.1109/iccv.1999.790416

[8] Comnaieiu, D., Ranesh, V., and Meer,P. Real-time tracking of non-rigid objects using Mean Shift. Proceeding IEEE Conference 0n computer vision and Pattern Recognition, 2000: 142–149.

DOI: 10.1109/cvpr.2000.854761

[9] Cmonaieiu, D., Ramesh, V., and Meer, P. Kernel–based object tracking. IEEE Transactions on Patten Analysis and Machine Intelligence, 2003, 25(2): 564-577.

DOI: 10.1109/tpami.2003.1195991