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2018 Volume 43 Issue 11
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WANG Li-he. Target Tracking Method Based on DSP Hardware Improved Camshift Algorithm[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 63-70. doi: 10.13718/j.cnki.xsxb.2018.11.011
Citation: WANG Li-he. Target Tracking Method Based on DSP Hardware Improved Camshift Algorithm[J]. Journal of Southwest China Normal University(Natural Science Edition), 2018, 43(11): 63-70. doi: 10.13718/j.cnki.xsxb.2018.11.011
shu

Target Tracking Method Based on DSP Hardware Improved Camshift Algorithm

  • Department of Computer, Chongqing College of Electronic Engineering, Chongqing 401331, China

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  • Received Date: 02/01/2018
  • In order to solve the problem that the target pixel is lost caused by the prediction of the previous frame of the Camshift algorithm and the target pixel is greatly shifted between frames, a target tracking method based on improved Camshift algorithm is proposed in this paper. The algorithm combines the weighted background histogram and the greedy algorithm into Camshift algorithm, and uses the greedy algorithm to process the image information of the first two frames to predict the position of the target in the current frame image. Then the Camshift algorithm is used to find out the target's reality according to the target color probability Location. Finally, the hardware system is implemented on the TMS320DM642. Then using EDMA and Cache technology optimize the system. Compared with the traditional Camshift algorithm, Experimental results show that the proposed method has better tracking performance and better robustness and stability under the condition of similar background and target, which is suitable for the target tracking in complex environment. In the system implementation, the average system frame rate of the optimized system is increased by more than 3 frames/second, which increases the speed of the algorithm.
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Target Tracking Method Based on DSP Hardware Improved Camshift Algorithm

  • Received Date: 02/01/2018

Abstract: In order to solve the problem that the target pixel is lost caused by the prediction of the previous frame of the Camshift algorithm and the target pixel is greatly shifted between frames, a target tracking method based on improved Camshift algorithm is proposed in this paper. The algorithm combines the weighted background histogram and the greedy algorithm into Camshift algorithm, and uses the greedy algorithm to process the image information of the first two frames to predict the position of the target in the current frame image. Then the Camshift algorithm is used to find out the target's reality according to the target color probability Location. Finally, the hardware system is implemented on the TMS320DM642. Then using EDMA and Cache technology optimize the system. Compared with the traditional Camshift algorithm, Experimental results show that the proposed method has better tracking performance and better robustness and stability under the condition of similar background and target, which is suitable for the target tracking in complex environment. In the system implementation, the average system frame rate of the optimized system is increased by more than 3 frames/second, which increases the speed of the algorithm.

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