面向不同距离的实时人体检测与跟踪系统

摘要

A real-time robust human detection and tracking system is proposed, which can detect people in the monitoring area and then keep tracking. To reduce the working range, a background subtraction technique is used to segment the moving foreground and the background. Since each body feature has its optimum working distance, several different detectors such as frontal face, head, and pedestrian are combined. By taking the video sequence continuity and the human body geometry constraint into account, robust real-time detection is achieved. The proposed system reduces the occurrence of tracking failure and enhances performance even with dramatic distance change between camera and people.%提出一种实时的覆盖不同距离的人体检测与跟踪系统，可快速准确检测和跟踪监控区域内出现的人体目标。该系统通过使用背景减除技术，分割背景与移动前景，缩小检测范围。针对在不同距离下便于提取的人体特征不同的情况，系统结合人体轮廓、头部、人脸等多种不同的特征描述、检测方式，并且充分利用视频信息在时间上的连续性及人体部分几何尺寸位置关系的先验知识，提高检测跟踪的效率和准确度。该系统较好地解决由于目标相对摄像机距离的改变导致跟踪失败或速度过慢的问题。