利用激光主动探测技术实现光电窥视设备检测

杨名宇

doi:10.3788/CO.20150802.0255

利用激光主动探测技术实现光电窥视设备检测

doi: 10.3788/CO.20150802.0255

杨名宇^,

中国科学院长春光学精密机械与物理研究所航空光学成像与测量中国科学院重点实验室，吉林长春 130033

基金项目: 国家自然科学基金资助项目(No.61308099);吉林省重大科技攻关资助项目(No.11ZDGG001)

详细信息

通讯作者:
杨名宇(1983—)，男，吉林松原人，博士，助理研究员，2006年于吉林大学获得学士学位，2012年于中国科学院自动化研究所获得博士学位，主要从事可见光和红外图像中目标检测、目标分割方面的研究。E-mail:ymy1983@163.com

中图分类号: V556.7
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- 被引次数: 0
出版历程
- 收稿日期: 2014-12-15
- 录用日期: 2015-02-14
- 刊出日期: 2015-04-25

Detecting of photoelectric peeping devices based on active laser detection

YANG Ming-yu^,

Key Laboratory of Airborne Optical Imaging and Measurement,Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China

摘要

摘要: 针对激光主动探测时光电设备表现出的猫眼效应,搭建了基于CCD的激光主动探测系统,提出了一套有效的光电窥视设备检测算法。该算法在激光脉冲的间隔,同时采集激光主被动图像,根据窥视目标与普通漫反射物体的回波强度差异,利用背景差法检测窥视目标。实验结果表明,在半径为5 m的作用范围内,该激光主动探测系统可有效、快速地将光电窥视目标从背景中检测出来,并且不受场景和光照的限制。通过对光学口径为2 mm的光电窥视设备在20个不同场景环境下进行实验,正确检测率达到95%,且每帧的检测时间在0.015~0.021 s内,满足了实时性需求,验证了本文系统搭建方案的正确性与软件处理算法的有效性。
- 激光主动探测 /
- 猫眼效应 /
- 背景差方法
Abstract: Based on the cat-eye effect of photoelectric devices, this paper establishes a system of active laser detection with CCD, and puts forward an effective algorithm for detecting peeping devices. The proposed algorithm acquires one image when the laser power is on, and the other image when the laser power is off in the laser pulse interval. According to the echo intensity difference on the peeping devices and usual objects, the target is detected by using the background difference method. The experimental results show that, within a radius of 5 m, the system can effectively and quickly detect peeping devices from background, and is not influenced by the scene and light. Through the experiments on 20 different scenes, the correct detection rate is 95%, and the detection time of each frame is in the range of 0.015-0.021 s, meeting the demand of real-time detection, which validate the correctness and effectiveness of this system.
- laser active detection /
- cat-eye effect /
- background difference method

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图 1 “猫眼”效应原理图

Figure 1. Principle sketch map of cat-eye effect

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图 2 激光主动探测系统原理图

Figure 2. Principle sketch map of active laser detection system

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图 3 算法流程图

Figure 3. Flow chart of the proposed algorithm

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图 4 不同场景下的检测实验

Figure 4. Experiments of detection on different scenes

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图 5 不同场景下的检测时间

Figure 5. Computation time of different scenes

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图 6 同一场景下不同光照实验

Figure 6. Experiments of the same scenes with different lighting

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图 7 本文方法与文献[6]方法的正确率比较

Figure 7. Comparison of accuracy between proposed algorithm and the algorithm used in Ref.[6]

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表 1 圆形特征参数比较

Table 1. Comparison of circle feature parameters

Expression Description Similarity

下载: 导出CSV

参考文献(15)

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