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Authors: José C. Rubio ; Joan Serrat and Antonio M. López

Affiliation: Universitat Autònoma de Barcelona, Spain

ISBN: 978-989-8425-99-7

Keyword(s): Tracking, Graphical models, MAP inference, Particle tracking, Live cell tracking, Intelligent headlights.

Related Ontology Subjects/Areas/Topics: Applications ; Bayesian Models ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Theory and Methods ; Video Analysis

Abstract: Multiple object tracking in video sequences is a difficult problem when one has to simultaneously deal with the following realistic conditions: 1) all or most objects share an identical or very similar appearance, 2) objects are imaged at close positions so there is a data association problem which becomes worse when the number of targets is high, 3) the objects to be tracked may lack observations for a short or long interval, for instance because they are not well detected or are being temporally occluded by another non-target object, and 4) their observations may overlap in the images because the objects are very near or the image results from a 2D projection from the 3D scene, giving rise to the merging and subsequently splitting of tracks. This later condition poses the additional problem of maintaining the objects identity when their observations undergo a merge and split. We pose the tracking and identity linking problem as one of inference on a two-layer probabilistic graphical model and show how can it be efficiently solved. Results are assessed on three very different types of video sequences, showing a turbulent flow of particles, bacteria growth and on-coming traffic headlights. (More)

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Paper citation in several formats:
Rubio, J.; Serrat, J. and López, A. (2012). MULTIPLE TARGET TRACKING AND IDENTITY LINKING UNDER SPLIT, MERGE AND OCCLUSION OF TARGETS AND OBSERVATIONS.In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8425-99-7, pages 15-24. DOI: 10.5220/0003710600150024

@conference{icpram12,
author={José C. Rubio. and Joan Serrat. and Antonio M. López.},
title={MULTIPLE TARGET TRACKING AND IDENTITY LINKING UNDER SPLIT, MERGE AND OCCLUSION OF TARGETS AND OBSERVATIONS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2012},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003710600150024},
isbn={978-989-8425-99-7},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - MULTIPLE TARGET TRACKING AND IDENTITY LINKING UNDER SPLIT, MERGE AND OCCLUSION OF TARGETS AND OBSERVATIONS
SN - 978-989-8425-99-7
AU - Rubio, J.
AU - Serrat, J.
AU - López, A.
PY - 2012
SP - 15
EP - 24
DO - 10.5220/0003710600150024

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