A Library for Implementing the Multiple Hypothesis Tracking Algorithm
Data Structures and Algorithms
2011-06-14 v1 Mathematical Software
Abstract
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.
Keywords
Cite
@article{arxiv.1106.2263,
title = {A Library for Implementing the Multiple Hypothesis Tracking Algorithm},
author = {David Miguel Antunes and David Martins de Matos and José Gaspar},
journal= {arXiv preprint arXiv:1106.2263},
year = {2011}
}