Optimization deployment method for image sensor network

Abstract

The present invention puts forward an optimization deployment method for an image sensor network, comprising two basic steps, i.e., establishment of an observation model of an image sensor, and optimization deployment of an image sensor network. In particular, the optimization deployment method comprises: a first step of establishing the observation model of the image sensor based on characteristics of the image sensor observing an object; and a second step of establishing an optimization deployment function of the network by establishing an observation area model, a network coverage model, and an observation model of the network, and obtaining the optimal deployment of the network by optimizing the function. According to the optimization deployment method of the present invention, an observation performance function of the image sensor to the object is established, and the more perfect image sensor observation model is introduced into the optimization deployment of the image sensor network, thereby effectively solving the problems of low deployment and operation flexibility and low observation efficiency in the existing image sensor network.

Description

technical field [0001] The invention relates to the fields of computer vision and image sensor networks, in particular to a research on an image sensor network optimal deployment method. Background technique [0002] Image sensor network is the core content of multimedia sensor network technology. In addition to the distributed perception, self-organization capabilities, dense deployment of sensor nodes, and limited communication bandwidth of traditional sensor networks, it also has the ability to obtain images of the scene, a huge amount of information data, limited observation directions and observation areas, and intelligence. Features such as stronger processing and storage capabilities. At the same time, in order to adapt to more complex applications, the image sensor network also puts forward higher requirements for the collaborative perception and collaborative processing capabilities between nodes. The deployment of image sensor nodes determines the cooperative per...

AI Technical Summary

Problems solved by technology

However, in previous studies, the overall coverage and coverage of the network were basically used as indicators to consider the deployment of the network, and the observation quality of the image sensor to the target was not considered.

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