Dr. Daonan Cai Profile

Dr. Daonan Cai

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Proceedings Article | 12 January 2018 Paper

A moving target detecting and tracking system based on DSP

Daonan Cai, Yuejin Zhao, Ming Liu, Liquan Dong, Xiaohua Liu

Proceedings Volume 10620, 106200Z (2018) https://doi.org/10.1117/12.2286265

KEYWORDS: Target detection, Digital signal processing, Image compression, Detection and tracking algorithms, Image processing, Video, Field programmable gate arrays, Signal processing, Image filtering, Target recognition

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In order to solve the target fast tracking problem in embedded system, a moving target detecting and tracking algorithm based on a combination of three-frame difference and template matching is proposed. The system utilizes DSP to design a set of image processing equipment and DSP uses TI company’s DM6437.Three-frame difference can detect a initial position of the target, then Mean Normalized Product Correlation(NNPROD) template matching algorithm was utilized in a partial area to achieve a precise position and reduce the amount of calculation. The algorithm utilized four templates and image compression to fit pose and scale changes when moving. To meet the real-time requirement, an improved algorithm of NNPROD was proposed under certain lighting conditions, what ’ s more the C language code was optimized and TI company’s highly optimized VLIB vision library was reasonably utilized. After several tests, the results showed that NNPROD can fit the changing of environmental light well, but more time was needed. The improved method can still work well with the changes of pose and scale when the light changes less intensely , and the processing speed of the improved method increased from the previous 11F / s to 23F / s.

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