Abstract
Conventional security monitoring of civil airport usually uses a fixed camera to acquire images. There are several problems with performance including difficulties introduced in the information transmission, storage, and analysis of the process. Insect compound eyes offer unique advantages for moving target capture and these have attracted the attention of many researchers in recent years. This paper contributes to this research by proposing a new surveillance system applied in civil airport. We discuss the finished bionic structure of the system, the development of the bionic control circuit, and introduce the proposed mathematical model of bionic compound eyes for data acquisition and image mosaic. Image matching for large view is also illustrated with different conditions. This mode and algorithm effectively achieve safety surveillance of airport with large field of view and high real-time processing.
Highlights
Moving target detection has been applied in many applications, such as video surveillance of civil airport, in recent years
As a result of these tradeoffs many researchers have turned their attention to a new image acquisition and processing mode called bionic compound eyes[1]
Compound eyes have many advantages including a large field of view and high sensitivity for moving target detection
Summary
Moving target detection has been applied in many applications, such as video surveillance of civil airport, in recent years. Tanida[2] et al proposed a bionic compound eyes imaging system called TOMBO (Thin Observation Module by Bound Optics) which adapted micro lens and photo detectors for the acquisition and receiving assembly of light signals This information is processed to restructure the targets. Insect compound eyes have small size, light weight, large viewing fields, and are very sensitive to moving targets They can detect and recognize targets in large areas using minimal information obtained through feature outline. The mechanism of the compound eyes provides a solution to the tradeoffs between viewing field size, resolution, and real-time processing. These are very important problems that must be addressed when developing moving target detection systems.
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