Method and system for positioning target based on multi-visual information

Abstract

The invention discloses a method and a system for positioning a target based on multi-visual information. The method comprises the following steps that: a plurality of camera nodes are allocated, wherein a projection plane coordinate system using position coordinate of each camera node as an origin is established on a to-be-positioned plane by the camera nodes; each camera node extracts a target region on an image plane, frames the region where the target is positioned with the minimum bounding rectangle and calculates coordinates of crossing points of the median vertical line of the rectangular frame and the upper edge and the lower edge in the projection plane coordinate system; the camera node transforms two coordinates obtained by calculation into the same coordinates in a world coordinate system by coordinate transform; the camera node establishes a linear equation, packs parameters, resolution and height information of the linear equation according to a predetermined protocol and transmits the packet to a cluster-head node; the cluster-head node establishes a cost function, reduces the cost function to the minimum so as to realize accurate positioning of the target and broadcasts back the target position information obtained by calculation to each camera node.

Description

technical field [0001] The invention relates to the technical fields of wireless multimedia sensor network and video processing, in particular to a method and system for target positioning based on multi-visual information. Background technique [0002] In recent years, due to the impetus of theoretical research and practical application, wireless sensor network technology has been developed rapidly, and has been widely used in military, transportation, environment and industrial production fields to realize the measurement of many physical quantities and information of the surrounding environment. exchange. However, as the monitoring environment becomes more and more complex and changeable, the simple data obtained by traditional sensor networks cannot meet people's overall needs for environmental monitoring; on the other hand, with the miniaturization and cost of hardware such as CMOS cameras and microphones The reduction makes it possible to integrate it on small wireles...

AI Technical Summary

Problems solved by technology

[0007] 2. Due to the height of the target, when it is at certain positions within the observation range of the camera, the camera node may not be able to directly observe its position on the positioning plane, such as figure 1 (b) It is shown at point Q, so it cannot be directly positioned; similarly, when the target is in a certain position, its top position cannot be observed, such as figure 1 (b) Shown at point P;

[0008] 3. When the shape of the target itself is irregular or the volume is large or the ratio of length to width is large, the result obtained by the general positioning algorithm is not accurate, such as figure 1 As shown in (c), the target position obtained by a single camera is point Q or point Q′, while the real position of the target is point P

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