Multi-Camera Tracking based on Information Fusion in Video Surveillance

Recently, intelligent video surveillance system with multiple cameras is a research hotspot due to its wide application. This system has many advantages on improving the surveillance performance and extending surveillance functions. However, taking multi-camera resources and video data into account, many problems also need to explore and research. The paper designs a system that fuses tracking information from multiple cameras. The system use an approach called map-view mapping for camera calibration and present a fusion strategy to fuse multi-camera tracking data. The experiment verified the performance of the fusion method, and showed this method can effectively eliminate occlusion in overlapping region and integrate all the events from multiple cameras in the ground plane.