Real-time Tracking of Underwater Moving Target
Swimming pool is a dynamic scene with great changes. It is affected by bubbles, light intensity, wave and other factors. In view of the features of the swimming pool, the underwater target tracking algorithm based on the combination of Mean Shift and Particle Filter is proposed in this paper. At first, according to the kernel function and target model in Mean Shift, the underwater moving target model is build based on RGB histogram. Then particle filter algorithm is used to track moving target. In the process of tracking, the distributions of the particles get closer to the true state of target by using the convergence of Mean Shift on particles. The simulation results show that the algorithm proposed in this paper achieves real-time and stable moving target tracking in the complex surroundings of swimming pool.
particle filter mean shift kalman filter target tracking
LEI Fei ZHANG Xinying WANG Yi
Electronic Information & Control Engineering College, Beijing University of Technology, Beijing 1001 Graduate College, Northeast Petroleum University, Daqing 163318
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3984-3988
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）