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Decentralised possibilistic inference with applications to target tracking
Fusing and sharing information from multiple sensors over a network is a challenging task.
A unified approach for multi-object triangulation, tracking and camera calibration
The disparity space-based approach for triangulation and object tracking is shown to be more effective than non-linear versions of the Kalman filter and particle filtering for non-rectified cameras.
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