The omni-directional image assisted optical surveillance system

Yung-Hsinag Chen, C. Hwang, Wei-Chung Wang, Chun-Fu Lin
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引用次数: 1

Abstract

This paper presents a high resolution optical surveillance system which integrated an omni-directional imager as an event finder/ system trigger. The omni-directional optics, a fish-eye camera in this study, provides a wider field of view (FOV) which can monitor widely range continuously without scanning mechanism but offers sufficient information which includes sign of field event and direction and then drive high resolution surveillance camera for detail imaging. To archive an optical triggering surveillance system, the scale-invariant feature transform (SIFT) is implemented to detect features both from images taken by omni-directional imager and the high resolution surveillance camera. Considering the FOV of high resolution surveillance system is narrow, to ensure the pointing of high resolution surveillance system, feature matching is also implemented in this system to identify the images obtained by high resolution surveillance system are identical to the existing omni-directional image obtained from fish-eye camera. This provides a robust and accurate solution to the problem of optical radar surveillance system localization in unknown environments. An experiment is performed on outdoor image sequences with demonstrating the efficiency of our algorithm.
全向图像辅助光学监控系统
提出了一种以全向成像仪作为事件探测/系统触发的高分辨率光学监控系统。本研究采用的全向光学鱼眼摄像机具有更宽的视场,无需扫描机制即可实现大范围的连续监控,并提供足够的信息,包括现场事件的标志和方向,进而驱动高分辨率监控摄像机进行细节成像。为了实现光学触发监控系统的存档,采用尺度不变特征变换(SIFT)对全向成像仪和高分辨率监控摄像机拍摄的图像进行特征检测。考虑到高分辨率监控系统视场较窄,为了保证高分辨率监控系统的指向性,本系统还进行了特征匹配,以识别高分辨率监控系统获得的图像与现有鱼眼摄像机获得的全向图像是否相同。这为光学雷达监视系统在未知环境下的定位问题提供了鲁棒和精确的解决方案。在室外图像序列上进行了实验,验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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