基于粒子滤波的视频图像目标遮挡算法研究

基于粒子滤波的视频图像目标遮挡算法是当前的一个热门研究领域.在对于视频图像目标跟踪方面,综合运用了多种算法进行检测和跟踪,详细分析光流法、帧间差分法、背景差分法和视频图像目标特征的提取,并在最后对帧间差分的算法进行了改进.通过实验证明,采用基于粒子滤波的视频图像目标遮挡算法能够更加有效地解决对跟踪目标的准确判断.

Block Algorithm of particle filter - based video image target

The video image target based on particle filter block algorithm is an important area of computer vision research. Multi-target tracking, Kalman filter, tracking model gives a brief introduction, proposed a particle filter-based target tracking method, a detailed analysis of the optical flow method, the inter-frame difference method, the background difference method and video image target feature extraction. In the final frame difference algorithm has been improved, experimental results show that using this method to track multiple moving targets with good accuracy and stability.