On-road visual vehicle tracking using Markov chain Monte Carlo with metropolis sampling

Arróspide Laborda, Jon and Salgado Álvarez de Sotomayor, Luis (2012). On-road visual vehicle tracking using Markov chain Monte Carlo with metropolis sampling. "International Journal of Automotive Technology", v. 13 (n. 6); pp. 955-961. ISSN 1229-9138. https://doi.org/10.1007/s12239-012-0097-1.

Description

Title: On-road visual vehicle tracking using Markov chain Monte Carlo with metropolis sampling
Author/s:
  • Arróspide Laborda, Jon
  • Salgado Álvarez de Sotomayor, Luis
Item Type: Article
Título de Revista/Publicación: International Journal of Automotive Technology
Date: October 2012
ISSN: 1229-9138
Volume: 13
Subjects:
Freetext Keywords: Intelligent vehicles, Image analysis, Object tracking, Monte Carlo methods
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this study, a method for vehicle tracking through video analysis based on Markov chain Monte Carlo (MCMC) particle filtering with metropolis sampling is proposed. The method handles multiple targets with low computational requirements and is, therefore, ideally suited for advanced-driver assistance systems that involve real-time operation. The method exploits the removed perspective domain given by inverse perspective mapping (IPM) to define a fast and efficient likelihood model. Additionally, the method encompasses an interaction model using Markov Random Fields (MRF) that allows treatment of dependencies between the motions of targets. The proposed method is tested in highway sequences and compared to state-of-the-art methods for vehicle tracking, i.e., independent target tracking with Kalman filtering (KF) and joint tracking with particle filtering. The results showed fewer tracking failures using the proposed method.

More information

Item ID: 30542
DC Identifier: http://oa.upm.es/30542/
OAI Identifier: oai:oa.upm.es:30542
DOI: 10.1007/s12239-012-0097-1
Official URL: http://link.springer.com/article/10.1007%2Fs12239-012-0097-1
Deposited by: Memoria Investigacion
Deposited on: 17 Sep 2014 18:43
Last Modified: 22 Apr 2016 00:48
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