(PHD) filter is proposed.Based on the gating strategy,the obtained measurements are firstly classified into the generalized newborn target and the existing target measurements.The two categories of measurements are independently used in the decomposed form of the PHD filter.Meanwhile,an amplitude ...
it does not ignore the target's shape.Extended object tracking simultaneously had both the centroid's kinematical state and the shape of target,this paper proposed a sequential Monte Carlo probability hypothesis density( SMC-PHD) filter based on star-convex random hypersurface models( RHM) for ...
作者: Weihua,Qin,Xing,Feng,Xun,Jiang,Jing,Gao,Lan,Liu 摘要: For multi-sensor multi-target tracking, traditiona 关键词: Multi-sensor multi-target tracking Gaussian mixture probability hypothesis density filter Augmented state Registration errors Doppler 年份: 2016 收藏...
This paper evaluates the performance of the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter for tracking multiple targets in an intelligent vision system. A stereo vision camera is used to get the left and right image sequences in order to extract 3-D coordinates of the targets'...