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We present in this paper a method for confidence computing and updating in a multi-sensor pedestrian tracking system. Also this paper shows how we can profit from the data provided by four layer laser scanner to calculate detection and recognition indicators confidence on detected objects. We propose the use of Transferable Belief Model framework in order to model and combine the sensor module outputs...
In this paper, we present a new approach to solve the problem of tracking partially hidden objects by a single layer laser scanner. Taking into consideration the shape of the detected object, we have optimized the clustering and the estimation of results. We propose to adapt the detection according to the predicted pose and the occlusions. We have developed an algorithm to detect the security barriers...
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