Multi-target Trajectory Analysis based on Extended Perception Domain and Skeleton Extraction

Abstract

Traditional trajectory analysis methods are based on time-series multi-frame image data, target shape and other information. But they do not work well for single frame or sparse time-series multi-target image data. In this paper, a simple and effective sparse trajectory analysis method, based on extended perception domain and skeleton extraction, is proposed for multitarget single frame image data. First of all, the convex hull region feature of sparse points is extracted. The second step, these points are connected into different lines. Then, the skeleton of each trajectory and the coordinate points that make up the trajectory is extracted and recorded respectively. Finally, all kinds of curves are classified and connected by the extending perception domain. The experimental results show that the method can extract multitarget trajectories well under time series data and target features free.