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Authors: Héctor Barrón ; Janeth Cruz and Leopoldo Altamirano

Affiliation: National Institute of Astrophysics Optics and Electronics, Mexico

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Target tracking, subpixel accuracy, probabilistic methods, adaptive tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Early Vision and Image Representation ; Human-Computer Interaction ; Image and Video Analysis ; Matching Correspondence and Flow ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Vision ; Software Engineering ; Video Analysis

Abstract: Several applications based on visual tracking need a better accuracy to perform a more reliable analysis of the objects in scene. However, it is necessary to deal with environments with different atmospheric conditions. Object dynamics can affect tracking throughout time. In this work, a tracking method with subpixel measurements is described, where quality of the state estimate of the object is enhanced. The proposed scheme is robust in scenes with occlusions and changes in appearance of the target. The target model is adapted to size changes of the object, avoiding aperture problem and integration with false information. The state of the object and its aspect along time are estimated. Each pixel is modeled by a random variable because the set of pixels represents the non-observable surface of target where real value of pixels can be affected by noise. This assumption allows the design of a gradual scheme for model updating. Subpixel precision in tracking is based on an iterative met hod that uses the similitude surface between the target model and the current image of the object on tracking. (More)

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Paper citation in several formats:
Barrón, H.; Cruz, J. and Altamirano, L. (2006). SUBPIXEL VISUAL TRACKING BASED ON ADAPTIVE STRATEGIES.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 286-293. DOI: 10.5220/0001377302860293

@conference{visapp06,
author={Héctor Barrón and Janeth Cruz and Leopoldo Altamirano},
title={SUBPIXEL VISUAL TRACKING BASED ON ADAPTIVE STRATEGIES},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={286-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001377302860293},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - SUBPIXEL VISUAL TRACKING BASED ON ADAPTIVE STRATEGIES
SN - 972-8865-40-6
AU - Barrón, H.
AU - Cruz, J.
AU - Altamirano, L.
PY - 2006
SP - 286
EP - 293
DO - 10.5220/0001377302860293

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