more and more weaponry with high speed and high mobility are equipped in our country. In order to make target tracker of the weapons have good robustness under the situation of the target scale changed and high speed
a real-time target tracking system based on DSP+FPGA was designed. The MeanShift Algorithm was improved by using multi-level pyramid and the background weighted kernel histogram
which can reduce the influence of background in the tracking box
then the whole algorithm was optimized to implement on the embedded system in real time. The experimental results show that the design of the real-time target tracking system is robust for the rapid motion of the target
scale changing
and some degree of fuzzy. The average processing time per frame was 13.5 ms
which can meet the engineering requirements of real-time and stability.
关键词
Keywords
references
贺柏根,刘剑,马天玮. 基于DSP+FPGA的实时图像去雾增强系统设计[J]. 液晶与显示,2013,28(6):968-972. He B G, Liu J, Ma T W. Real-time image defogging and enhanced system designed based on DSP+FPGA [J]. Chinese Journal of Liquid Crystals and Displays, 2013, 28(6):968-972.(in Chinese)[2] 朱秋平,颜佳,张虎,等.基于压缩感知的多特征实时跟踪[J]. 光学 精密工程,2013,21(2):437-444. Zhu Q P, Yan J, Zhang H, et al. Real-time tracking using multiple features based on compressive sensing [J].Optics and Precision Engineering,2013,21(2):437-444.(in Chinese)[3] 龚俊亮,何昕,魏仲慧,等. 采用改进辅助粒子滤波的红外多目标跟踪[J]. 光学 精密工程,2012,20(2):413- 421. Gong JL,He X,Wei Z H,et al. Multiple infrared target tracking using improved auxiliary particle filter[J]. Opt. Precision Eng.,2012,20(2):413-421. (in Chinese)[4] 张云峰. 基于DSP的实时图像拼接技术[J]. 液晶与显示,2013,28(6):963-967. Zhang Y F. Realtime image mosaic technology based on DSP[J].Chinese Journal of Liquid Crystals and Displays,2013,28(6): 963- 967.(in Chinese)[5] 苏可心,韩广良,孙海江.基于SURF的抗视角变换图像匹配算法[J]. 液晶与显示,2013,28(4):626-632. Su K X, Han G L, Sun H J. Anti-viewpoint changing image matching algorithm based on SURF [J]. Chinese Journal of Liquid Crystals and Displays, 2013, 28(4):.626-632.(in Chinese)[6] Roweis S. EM algorithms for PCA and SPCA [M]//Advances in Neural Information Processing Systems,MIT Press,1997: 626-632.[7] 孙晓燕,常发亮. 梯度特征稀疏表示目标跟踪[J]. 光学 精密工程,2013,21(12):3191-3197. Sun X Y, Chang F L. Object tracking based on sparse representation of gradient feature [J]. Opt.Precision Eng., 2013,21(12):3191-3197.(in Chinese)[8] 王丽佳,贾松敏,王爽,等. 采用改进Mean Shift算法的移动机器人行人跟踪[J]. 光学 精密工程,2013,21(9):2364-2370. Wang L J, Jia S M, Wang S, et al. Person tracking of a mobile robot using improved Mean Shift [J]. Opt. Precision Eng., 2013,21(9):2364-2370. (in Chinese)[9] 匡金骏,柴毅,熊庆宇.结合标准对冲与核函数稀疏分类的目标跟踪[J]. 光学 精密工程, 2012, 20(11): 2540- 2547. Kuang J J, Chai Y, Xiong Q Y. Visual object tracking combined normal hedge and kernel sparse representation classification[J].Opt. Precision Eng., 2012, 20(11): 2540- 2547.(in Chinese)[10] Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking[J]. IEEE Transaction on pattern analysis and machine intelligence, 2003,25(5):564-577.