Face Tracking Algorithm Based on Sequential Monte Carlo Filter
Incorporating color distribution and spatial layout,this paper proposes a sequential Monte Carlo filter posterior tracking algorithm using color and spatial information in HSV color space.The target model is defined by the spatial color information of the tracking face region.By computing the characteristic distance between sample and target,different weights associated with every sample and the posterior of state vector can be computed.The samples distribution trends to the state distribution,whose validity is guaranteed by the strong law of large numbers.The tracking results using weighted samples are given in simulation.Experimental results show the probabilistic approach is simple and computationally efficient.In addition,this algorithm based on the sequential Monte Carlo filter could predict the location of face and track its trajectory satisfactorily in various complex conditions.
bayesian estimation sequential Monte Carlo filter weighted samples posterior tracking
Yunming Du Bingbing Yan Yongcheng Jiang
College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China College of Mechanical Engineering, Jiamusi University, Jiamusi 154007, China
国际会议
厦门
英文
1777-1781
2012-01-04（万方平台首次上网日期，不代表论文的发表时间）