基于视频分析的行人检测

由于存储时间和空间的限制,现有的行人检测算法无法满足智能视频监控的实时性。针对该不足,提出了一种基于视频运动分析的方法。该方法只对图像中含有运动信息的物体进行梯度直方图特征提取和分析,避免了对整帧图像进行窗口式的扫描,又省去了对图像进行金字塔变换的处理,极大的提高了图像处理的效率。与常规行人检测方法进行了对比,实验表明该方法是快速和高效的,能够满足智能视频监控的实时性需要。

Pedestrian Detection Based on Video-analyze

As the storage time and space constraints, existing pedestrian detection algorithms cannot meet the real-time intelligent video surveillance. An approach based on motion analysis is proposed to solve this problem. The method only extracts gradient histogram features from the objects containing motion information. It avoids window scan on the whole image, and save the processing of Pyramid transformation. So the efficiency of image processing is greatly improved. Compared with conventional pedestrian detection, experimental results show that the approach is fast and effective, and can meet the real-time needs of intelligent video surveillance.