A Library for Implementing the Multiple Hypothesis Tracking Algorithm
  The Multiple Hypothesis Tracking (MHT) algorithm is known to produce good results in difficult multi-target tracking situations. However, its implementation is not trivial, and is associated with a significant programming effort, code size and long implementation time. We propose a library which addresses these problems by providing a domain independent implementation of the most complex MHT operations. We also address the problem of applying clustering in domain independent manner. 
David Miguel Antunes, David Martins de Matos, Jos\'e Gaspar
cs.DS cs.MS