Multi-moving-target monitoring method based on difference algorithm in video sensor network

Abstract

The invention discloses a multi-moving-target monitoring method based on a difference algorithm in a video sensor network. The method comprises the following steps of (1) randomly deploying a plurality of video sensor nodes in a monitoring area; (2) monitoring a moving target; (3) predicting the next moment position of the moving target; (4) each node capable of being monitored creating and maintaining a coverage rotation information table; (5) monitoring node rotation decision based on a difference optimization algorithm; and (6) rotating the node capable of being monitored according to the final optimal solution. According to the method, the position of the moving target appearing at the next moment can be predicted, and the covered nodes can be selected to rotate in the sensing direction according to the difference algorithm. According to the method, global optimization at each moment is carried out, the possible position of the target can be covered to the maximum probability, andthe covering quality of multiple moving targets is improved.

Description

technical field [0001] The invention relates to a video sensor network, in particular to a method for optimizing the monitoring coverage of multiple moving targets in the video sensor network. technical background [0002] The emergence of a new information acquisition and target monitoring sensing device, video sensor, provides a more convenient and efficient solution for state perception, information processing and tracking detection of moving targets. The video sensor network composed of such sensors has the ability to collect, transmit and process multimedia information such as data, images and videos, and its visual monitoring has the characteristics of convenience, intuition, and rich information. All kinds of high-efficiency capabilities make it have good development prospects in industry, agriculture, military, surveillance security and environmental monitoring. [0003] Target coverage control is an important research hotspot in video sensor networks. However, vide...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies of the existing video sensor network, such as low perceptual monitoring effect on multiple moving targets, low trajectory coverage quality, and poor real-time performance, the present invention provides a multi-moving target monitoring method based on a differential algorithm in a video sensor network, which can pass Predict the position of the moving target at the next moment, and use the difference algorithm to select the coverable node for the rotation of the perceived direction

Images