关键词: 多摄像机, 目标跟踪, 拓扑模型, 摄像机调度, 特征学习

Abstract:

In a video surveillance network system constructed by multi-cameras,when a target access to one camera's FOV(Field of Vision) from another's,it was a key problem to schedule the cameras correctly and to achieve reliable target handoff.Cameras scheduling and target handoff strategies were proposed based on topological model and feature learning that can be applied to multi-PTZ cameras relay target tracking system in a large and complex scene.First,a scene map model was constructed for Cameras,and a method based on real time background estimation was used to determine the handover time and position.Then a multi-camera geometric topological model was created,and,a scheduling handoff algorithm based on topological model and a feature learning algorithm were proposed to schedule the handover camera quickly and to complete the target handoff.The experimental results show that the proposed method can judge and schedule handover camera quickly and accurately in multi-cameras active tracking.

Key words: multiple camera, target tracking, topological model, camera scheduling, feature learning