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- Tracking with Bayesian networks: extension to arbitrary topologiesPublication . Jorge, Pedro; Abrantes, Arnaldo; Marques, Jorge S.It was recently proposed an object tracking method, which is able to deal with object occlusions and group tracking, using Bayesian networks. The Bayesian network (BN) tracker has shown promising results in difficult situations but its architecture is limited to a maximum of 2 parents/2 children per node, in order to avoid the combinatorial explosion and difficult network generation procedures from the video signal. This paper addresses the major limitation of the BN tracker and presents a method to generalize the tracker to cope with arbitrary topologies, allowing the tracker to operate in more complex scenes.
- Automatic tracking of multiple pedestrians with group formation and occlusionsPublication . Jorge, Pedro; Abrantes, Arnaldo; Marques, Jorge S.This work addresses the problem of automatic track ing of pedestrians observed by a fixed camera in out door scenes. Tracking isolated pedestrians is not a difficult task. The challenge arises when the track ing system has to deal with temporary occlusions and groups of pedestrians. In both cases it is not possi ble to track each pedestrian during the whole video sequence. However, the system should be able to rec ognize each pedestrian as soon as he/she becomes vis ible and isolated from the group. This paper presents methods to tackle these difficulties. The proposed sys tem is based on a hierarchical approach which allows the application of the same methods for tracking iso lated pedestrians and groups.