光照突变补偿在视频序列运动目标检测中的应用

针对光照突变情况下视频序列运动目标检测精度低 、误检多等问题,提出一种结合光照补偿的检测算 法。算法利用色差不变量提取稳定的背景区域,并结合历史前景信息判定光照突变程度。采 用对角模型补 偿光照突变的图像序列,对全局与局部光照突变分别运用区间估计与码本聚类方法计算补偿 参数,最后利用 背景减除法实现运动目标的检测。与典型算法进行对比的实验结果表明,本文算法具备较高 的检测精度与稳定性,适用于动态场景中的运动目标检测。

Illumination compensation for moving objects detecting in video sequences

As sudden illumination change occurs i n video sequences current,moving target detection algorithms provide low accurac y and higher false results,so an algorithm combined with illumination compensation is proposed in this paper.At first,stable background areas are extracted by app lying chromatic invariants, and illumination change degree is determined by combining with the history of moving objects.Then, the image sequences are compensated by the diagonal model,and the model parame ters are respectively calculated through interval estimation and codebook cluster for the global and local illumination changes.Moving objects detection is achieved by background subtraction finally. Experimental results show that the proposed algorithm is applicable to moving object detection in dyn amic scenarios and provides higher detection accuracy and stability.