Low level tracking of multiple objects (original) (raw)

Tracking of multiple objects from 'real world' is one of the most complicated problems in computer vision since the behaviour/motion of these objects is unpredictable and cannot be assumed. Tracking is also "application depended" task; there is no one general tracking methodology for solving all tracking problems. Therefore, different algorithms and procedures are needed and used for different applications. However, it is possible to rank tracking applications in two general categories: the ones that need a moving camera and the ones where a stable camera is enough. This paper deals with the second category and the technique of the "closed-world" for object tracking. It defines the lower level problem, the possible circumstances of the objects movements and the algorithms to solve some of the tracking situations. The obtained experimental results are pretty promising, approaching 100% hit rate, even in cases of two-object collision. In three-object collision occasional re-initialisation is required.