基于模糊积分特征的红外图像运动目标检测算法

提出了一种新颖的融合红外图像的亮度和纹理特征进行运动目标检测的算法。算法使用模糊数学理论中的Sugeno模糊测度和积分技术将图像的亮度特征与局部二元模式纹理特征结合进行运动前景/背景分类,实现了低信噪比、黑白级反转等复杂背景条件下的准确目标提取。通过实验分析比较了不同检测算法的检测结果,实验数据表明,该算法能够以高检测率、低误检率获得运动目标,为进一步的目标识别或跟踪提供了保障。

Fuzzy integral feature based algorithm for moving infrared object detection

A novel moving object detection algorithm is presented, which is based on the intensity and texture integral feature of the infrared image of the object. The algorithm applies Sugeno fuzzy measure and fuzzy integral to integrate the intensity and texture feature of local binary pattern, and classifies the foreground and background. It can accurately detect the object under complex background, such as picture inversion and low signal-to-noise ratio. Experiment results indicate that moving object can be correctly detected by this algorithm, which ensures further object recognizing and tracking.