HSV彩色空间的室内外运动人检测与阴影消除

Indoor and Outdoor People Detection and Shadow Elimination by Exploiting HSV Color Information

提出一种用于运动目标的分割,基于最大统计概率的自适应背景模型,采用简单的背景重建方法,用于维护背景以适应场景的动态变化.利用阴影区域亮度和色调的特点,在HSV(Hue Sataration Value)空间消除运动阴影,使得运动目标的分割更为准确.为了客观的评价所提出的阴影检测算法的性能,引入一种量化的方法,对不同光照和环境条件视频的实验结果及量化分析表明,方法是有效的.

A method to divide the motion target by using an adaptive background model based on ,maximum statistical probability is proposed in this paper. Using a simple method of background recomstruetion and background maintenanee to adapt the scene changed. Moving cast shadows mostly exhibit a challenge for accurate moving targets detection; the problem is addressed in this paper by exploiting HSV （Hue Sataration Value） color information. Furthermore, a quantitative method is introduced to evaluate the algorithm on a benchmark suite of indoor and outdoor video sequences. The experimental results are given and the performance of the algorithm is effect.