Statistical Information Fusion for Multiple-View Sensor Data in Multi-Object Tracking
Xiaoying Wang,
Reza Hoseinnezhad,
Amirali K. Gostar
et al.
Abstract:This paper presents a novel statistical information fusion method to integrate multiple-view sensor data in multi-object tracking applications. The proposed method overcomes the drawbacks of the commonly used Generalized Covariance Intersection method, which considers constant weights allocated for sensors. Our method is based on enhancing the Generalized Covariance Intersection with adaptive weights that are automatically tuned based on the amount of information carried by the measurements from each sensor. T… Show more
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