IMPLICIT TRACKING OF MULTIPLE OBJECTS BASED ON BAYESIAN REGION LABEL ASSIGNMENT

Masaya Ikeda, Kan Okubo, Norio Tagawa

2009

Abstract

For tracking objects, the various template matching methods are usually used. However, those cannot completely cope with apparent changes of a target object in images. On the other hand, to discriminate multiple objects in still images, the label assignment based on the MAP estimation using object's features is convenient. In this study, we propose a method which enables to track multiple objects stably without explicit tracking by extending the above MAP assignment in the temporal direction. We propose two techniques; information of target position and its size detected in the previous frame is propagated to the current frame as a prior probability of the target region, and distribution properties of target’s feature values in a feature space are adaptively updated based on detection results at each frame. Since the proposed method is based on a label assignment and then, it is not an explicit tracking based on target appearance in images, the method is robust especially for occlusion.

References

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Paper Citation


in Harvard Style

Ikeda M., Okubo K. and Tagawa N. (2009). IMPLICIT TRACKING OF MULTIPLE OBJECTS BASED ON BAYESIAN REGION LABEL ASSIGNMENT . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 503-506. DOI: 10.5220/0001796905030506


in Bibtex Style

@conference{visapp09,
author={Masaya Ikeda and Kan Okubo and Norio Tagawa},
title={IMPLICIT TRACKING OF MULTIPLE OBJECTS BASED ON BAYESIAN REGION LABEL ASSIGNMENT},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={503-506},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001796905030506},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - IMPLICIT TRACKING OF MULTIPLE OBJECTS BASED ON BAYESIAN REGION LABEL ASSIGNMENT
SN - 978-989-8111-69-2
AU - Ikeda M.
AU - Okubo K.
AU - Tagawa N.
PY - 2009
SP - 503
EP - 506
DO - 10.5220/0001796905030506