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A Library for Implementing the Multiple Hypothesis Tracking Algorithm

Year: 2011

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1106.2263

Authors: Antunes, David Miguel, de Matos, David Martins, Gaspar, José

Language: English

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1622095651

Cites: 9

Cited by: 10

Related to: 10