Real-Time Multi-Target Multi-Camera Tracking with Spatial-Temporal Information

Video security monitoring has always been an important mission for safety reason. In an entire surveillance system, there are usually several cameras distributed sparsely to cover a wide range of public areas (e.g., school, shopping mall or infrastructure). Tracking person through this cameras network is challenging due to different camera perspectives, illumination changes and pose variations. Several algorithms for Multi-Target Multi-Camera tracking (MTMCT) have been proposed in offline method which has delay in getting result. Addressing the need for real-time computation of people tracks through multi camera, the paper proposes an online tracking algorithm. The contributions include (1) online real-time framework which can be used in practical application, (2) extend a single camera multi object tracking (MOT) algorithm to be suitable for multi-camera tracking and (3) use spatial-temporal information to strengthen cross camera person recall performance. The proposed algorithm has been benchmarked against the literature review of MTMC algorithms.