Abstract
An embedded monitoring network system is based on the visual principle of compound eye, which meets the acquirements in field angle, detecting efficiency, and structural complexity of panoramic monitoring network. Three fixed wide-angle cameras are adopted as sub-eyes, and a main camera is installed on a high-speed platform. The system ensures the continuity of tracking with high sensitivity and accuracy in a field of view (FOV) of 360 × 180°. In the non-overlapping FOV of the sub-eyes, we adopt Gaussian background difference model and morphological algorithm to detect moving targets. However, in the overlapping FOV, we use the strategy of lateral inhibition network which improves the continuity of detection and speed of response. The experimental results show that our system locates a target within 0.15 s after it starts moving in the non-overlapping field; when a target moves in the overlapping field, it takes 0.23 s to locate it. The system reduces the cost and complexity in traditional panoramic monitoring network and lessens the labor intensity in the field of monitoring.
Highlights
1 Introduction Conventional surveillance cameras are of limited field of view (FOV) and fail in continuous panoramic monitoring of 360 × 180° FOV
The fish-eye lens [2] have gradually popularized in panoramic monitoring
Starting from the insects' compound eye system, this paper describes an embedded network system used for continuous tracking moving targets in panoramic view
Summary
Conventional surveillance cameras are of limited field of view (FOV) and fail in continuous panoramic monitoring of 360 × 180° FOV. In order to solve the problem, a parallel network of multiple cameras is commonly used to cover the panoramic monitoring area [1]. The compound eye vision system of insects has large FOV and high sensitivity. Such systems have advantages over conventional vision systems in applications of community monitoring, robot vision system and intelligent vehicle, etc. Starting from the insects' compound eye system, this paper describes an embedded network system used for continuous tracking moving targets in panoramic view.
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More From: EURASIP Journal on Wireless Communications and Networking
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