基于背景差分法和CAMShift法的运动目标跟踪系统的设计与实现

详细信息

Design of Moving Object Tracking System Based on Background Subtraction Algorithm and CAMShift Algorithm and Its Implementatio

College of Information Engineering of Inner Mongolia University of Technology，Hohhot 010051, China

摘要: 针对云台摄像头转动时会暂时性丢失跟踪的运动目标的问题，提出了一种基于背景差分法和连续CAMShift法的运动目标跟踪系统的设计方案。该系统在云台摄像头静止的情况下采用改进的背景差分法检测运动目标，在云台摄像头转动的过程中采用连续CAMShift法跟踪运动目标，并通过型心坐标追踪运动目标的轨迹。仿真结果表明，结合背景差分法和连续CAMShift法的运动目标跟踪系统在一定程度上满足了实时性与稳定性的要求。
- 云台摄像头 /
- 运动目标 /
- 跟踪 /
- 目标检测 /
- 背景差分 /
- CAMShift /
- 型心跟踪 /
- TMS320DM642
Abstract: In order to solve problem of temporary loss for tracked moving object when pan-tilt camera rotated, the paper proposed a design scheme of moving object tracking system based on background subtraction algorithm and CAMShift algorithm. The system uses improved background subtraction algorithm to detect moving object when pan-tilt camera is stationary and uses CAMShift algorithm to track moving object when pan-tilt camera is turning, and tracks path of moving object through center coordinates. The simulation result showed that the system can meet with requirements of real-time and stability in certain degree.
- pan-tilt camera, moving object, tracking, object detection, background subtraction, CAMShift, center tracking, TMS320DM642