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The Multiple Hypothesis Tracking (MHT) algorithm is known to produce goodresults in difficult multi-target tracking situations. However, itsimplementation is not trivial, and is associated with a significant programmingeffort, code size and long implementation time. We propose a library whichaddresses these problems by providing a domain independent implementation ofthe most complex MHT operations. We also address the problem of applyingclustering in domain independent manner.

A Library for Implementing the Multiple Hypothesis Tracking Algorithm