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METHOD FOR TRACKING MULTIPLE IMAGE OBJECTS BASED ON A PENALTY GRAPH FOR AVOIDING HIJACKING OF A TRACKER

机译:基于惩罚图的多图像对象跟踪方法

摘要

A method for tracking multiple image objects, includes resampling particles from each of the image objects tracked in a previous image, calculating respective weights of the resampled particles, and predicting and tracking locations of the image objects in a current image based on values obtained by multiplying the locations of the particles by corresponding weights, wherein when an image object of the previous image has a neighboring image object located within a threshold distance, weights of the particles sampled from the image object are calculated by multiplying image values of the current image by penalties, which are values of distances between the corresponding particles and the neighboring image object. The method is capable of avoiding a hijacking problem in which identifiers of nearby objects are confused with each other or disappear during the tracking of multiple objects.
机译:一种用于跟踪多个图像对象的方法,该方法包括:从先前图像中跟踪的每个图像对象中对粒子进行重采样;计算重采样的粒子的各个权重;以及基于通过相乘获得的值来预测和跟踪当前图像中图像对象的位置。通过相应的权重来确定粒子的位置,其中,当先前图像的图像对象的相邻图像对象位于阈值距离内时,通过将当前图像的图像值乘以罚分来计算从图像对象采样的粒子的权重,它们是相应的粒子与相邻图像对象之间的距离值。该方法能够避免劫持问题,在该劫持问题中,附近对象的标识符在跟踪多个对象期间彼此混淆或消失。

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