Motion based correspondence for 3D tracking of multiple dim objects
Tracking multiple objects in a video is a demanding task that is frequently encountered in several systems such as surveillance and motion analysis. Ability to track objects in 3D requires the use of multiple cameras. While tracking multiple objects using multiples video cameras, establishing correspondence between objects in the various cameras is a non-trivial task. Specifically, when the targets are dim or are very far away from the camera, appearance cannot be used in order to establish...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)|
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