基于红外图像的车底藏人检测系统设计  

Infrared image-based system for detecting hiding personnel under vehicle

作　　者：许金金[1] 王敏[1] 吴伟交[1] 

机构地区：[1]华中科技大学控制科学与工程系,武汉430074

出　　处：《计算机工程与应用》2013年第3期69-73,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60873032)

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。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.

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 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]