A multiple hypothesis tracker with interacting feature extraction

The multiple hypothesis tracker (mht) is an optimal tracking method due to the enumeration of all possible measurement-to-track associations. However, its practical implementation is limited by the exponential growth in this enumeration. Feature data, in addition to kinematic measurements, can improve track quality and reduce false tracks. In this paper, a new approach whereby there is an intrinsic interaction between feature extraction and the …