Target tracking method and system transmitting edge distribution and existence probability

Abstract

The invention belongs to the field of multi-sensor information fusion and provides a target tracking method and system transmitting edge distribution and existence probability. The method includes the following steps that firstly, according to edge distribution and existence probability of all targets at the previous moment, edge distribution and existence probability, at the current moment, of the targets already existing at the previous moment are predicated, edge distribution and existence probability are appointed to newborn targets at the current moment, updated edge distribution and existence probability are measured and determined in combination with the positions at the current moment, then edge distribution and existence probability of all the targets are determined at the current moment, finally, the targets with existence probability smaller than a first threshold value are cut out according to edge distribution and existence probability of all the targets at the current moment, edge distribution and existence probability of all the targets after cutting serve as recursion input at the next moment, and meanwhile the targets with existence probability larger than a second threshold value are extracted as output at the current moment.

Description

technical field [0001] The invention belongs to the technical field of multi-sensor information fusion, and in particular relates to a target tracking method and a target tracking system for transmitting edge distribution and existence probability. Background technique [0002] Probabilistic hypothesis density filtering method is a new method to solve target detection and tracking. Its biggest advantage is that it reduces the integral operation in the Bayesian filtering method, and can give an estimate of the number of instantaneous targets. It has been widely used in multi-target detection, positioning and tracking. [0003] However, the probabilistic hypothesis density filtering method is a data processing method that transfers the first moments of the joint posterior distribution. When this method is used to track the target, due to the mutual interference and influence between different target states, the filtering method cannot distinguish the targets that are very clo...

AI Technical Summary

Problems solved by technology

When using this method to track the target, due to the mutual interference and influence between different target states, the filtering method cannot distinguish the targets that are very close.

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