Infrared small target tracking based on SOPC

Taotao Hu; Xiang Fan; Yu-Jin Zhang; Zheng-dong Cheng; Bin Zhu

doi:10.1117/12.872184

25 January 2011 Infrared small target tracking based on SOPC

Taotao Hu, Xiang Fan, Yu-Jin Zhang, Zheng-dong Cheng, Bin Zhu

Proceedings Volume 7872, Parallel Processing for Imaging Applications; 78720U (2011) https://doi.org/10.1117/12.872184
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

The paper presents a low cost FPGA based solution for a real-time infrared small target tracking system. A specialized architecture is presented based on a soft RISC processor capable of running kernel based mean shift tracking algorithm. Mean shift tracking algorithm is realized in NIOS II soft-core with SOPC (System on a Programmable Chip) technology. Though mean shift algorithm is widely used for target tracking, the original mean shift algorithm can not be directly used for infrared small target tracking. As infrared small target only has intensity information, so an improved mean shift algorithm is presented in this paper. How to describe target will determine whether target can be tracked by mean shift algorithm. Because color target can be tracked well by mean shift algorithm, imitating color image expression, spatial component and temporal component are advanced to describe target, which forms pseudo-color image. In order to improve the processing speed parallel technology and pipeline technology are taken. Two RAM are taken to stored images separately by ping-pong technology. A FLASH is used to store mass temp data. The experimental results show that infrared small target is tracked stably in complicated background.

Citation Download Citation

Taotao Hu, Xiang Fan, Yu-Jin Zhang, Zheng-dong Cheng, and Bin Zhu "Infrared small target tracking based on SOPC", Proc. SPIE 7872, Parallel Processing for Imaging Applications, 78720U (25 January 2011); https://doi.org/10.1117/12.872184

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