Abstract

MHT (multiple hypothesis tracking) is a multiple target tracking methodology in dense environments. While conventional tracking filters have only the function of track maintenance, MHT has the function of track initiation and mis-track removal in addition to the above function. In the conventional MHT, the extraction of target track is very complicated, because the track information is referred to by using combination of hypotheses and observation vectors. However, track-oriented MHT, our proposed methodology, generates hypotheses based on the correlation of tracks and observation vectors and, therefore, extraction of the tracks is facilitated. The paper presents the study of target tracking using track-oriented MHT.

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