Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (3): 69-73.

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Infrared image-based system for detecting hiding personnel under vehicle

XU Jinjin, WANG Min, WU Weijiao   

  1. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • Online:2013-02-01 Published:2013-02-18

基于红外图像的车底藏人检测系统设计

许金金,王  敏,吴伟交   

  1. 华中科技大学 控制科学与工程系,武汉 430074

Abstract: Focusing on the low efficiency and heavy workload to detect the hiding personnel in the bottom of the vehicle by viewing the monitoring picture themselves, using integrated filter, improved background subtraction, feature extraction, ROI extraction and so on, an automatic system based on infrared image for detecting hiding personnel in the bottom of a vehicle is proposed. The results of extensive tests show that the system has advantages of high accuracy, wide serviceability, and good practical utility. The system can realize the automatic detection of the hiding personnel under the vehicle.

Key words: hiding personnel detection, integrated filter, improved background subtraction, feature extraction, Region Of Interest(ROI), evaluation function

摘要: 针对以往检测车底藏人依靠人工查看获取到的车底画面效率不高和工作量大的问题,通过组合滤波、改进背景差分、车底线面特征提取、ROI划分等方法,设计出一套基于红外图像车底藏人自动检测系统。实验表明:该检测系统具有准确率高、适用性广、实用性高等优点,能够实现目标的自动检测。

关键词: 车底藏人, 组合滤波, 改进背景差分, 特征提取, 感兴趣区域(ROI), 评价函数