Target tracking method based on image sensor network

Abstract

The invention discloses a target tracking method based on an image sensor network, belonging to the technical field of computer image processing and comprising the following steps: detecting a target object by an observation node and then judging if the target object appears in a monitoring area of the observation node; acquiring images by the observation node according to a set time interval, carrying out gray level process and binary process on the acquired images in real time, and then extracting pixel coordinates of the target object at the current time point according to the pixel difference between backgrounds of the processed images and the target object; sending the obtained pixel coordinates of the target object to a server; converting the pixel coordinates of the target object to real coordinates of the physical world by the server through the conversion relationship between an image coordinate system and a real coordinate system of the observation node, and utilizing a smooth curve to connect history pixel coordinates of the target object, finally obtaining the motion trace of the target object. The invention enables target tracking to be more accurate and effective.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, in particular to a target tracking method based on an image sensor network. Background technique [0002] Wireless sensor network integrates sensing technology, network technology, wireless communication technology and distributed intelligent information processing technology, etc., and can be widely used in intelligent buildings, environmental monitoring and other fields. The wireless sensor network is composed of large-scale sensor nodes deployed in a specific area. The sensor nodes use multi-hop and self-organizing wireless communication methods to efficiently, stably and cooperatively complete a specific task with a specific protocol. Greatly expand people's ability to obtain information about the objective world. Due to the low cost of sensor nodes, accurate sensing data, convenient deployment, self-organization and strong robustness of sensor networks, it can effectively ...

AI Technical Summary

Problems solved by technology

However, this tracking method has a large amount of computation. For image deformation problems such as scale and rotation, template matching is very difficult. When the characteristics of the target itself change, it is easy to cause template matching to be unstable.

[0012] From the above analysis, it can be seen that the traditional methods of using image information to achieve target tracking do not consider the limitations of the hardware resources of the observation equipment. These methods have a large amount of calculation and complex structures, and require equipment with good data processing capabilities and abundant storage resources.

However, wireless sensor nodes require low power consumption, low complexity, and low cost. Traditional methods cannot be directly applied to image sensor networks. Therefore, new solutions are urgently needed to use image sensor networks to achieve target tracking.

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