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Link to original content: https://doi.org/10.5220/0007313603770387
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Authors: Khari Jarrett 1 ; Joachim Lohn-Jaramillo 1 ; Elijah Bowen 2 ; Laura Ray 1 and Richard Granger 2

Affiliations: 1 Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH and U.S.A. ; 2 Department of Psychology and Brain Sciences, Dartmouth College, Hanover, NH and U.S.A.

Keyword(s): Top-down Visual Processing, Video Tracking, Action Localization.

Related Ontology Subjects/Areas/Topics: Feature Selection and Extraction ; Pattern Recognition ; Theory and Methods

Abstract: We introduce a new set of mechanisms for tracking entities through videos, at substantially less expense than required by standard methods. The approach combines inexpensive initial processing of individual frames together with integration of information across long time spans (multiple frames), resulting in the recognition and tracking of spatially and temporally contiguous entities, rather than focusing on the individual pixels that comprise those entities.

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Paper citation in several formats:
Jarrett, K. ; Lohn-Jaramillo, J. ; Bowen, E. ; Ray, L. and Granger, R. (2019). Feedforward and Feedback Processing of Spatiotemporal Tubes for Efficient Object Localization. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-351-3; ISSN 2184-4313, SciTePress, pages 377-387. DOI: 10.5220/0007313603770387

@conference{icpram19,
author={Khari Jarrett and Joachim Lohn{-}Jaramillo and Elijah Bowen and Laura Ray and Richard Granger},
title={Feedforward and Feedback Processing of Spatiotemporal Tubes for Efficient Object Localization},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2019},
pages={377-387},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007313603770387},
isbn={978-989-758-351-3},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Feedforward and Feedback Processing of Spatiotemporal Tubes for Efficient Object Localization
SN - 978-989-758-351-3
IS - 2184-4313
AU - Jarrett, K.
AU - Lohn-Jaramillo, J.
AU - Bowen, E.
AU - Ray, L.
AU - Granger, R.
PY - 2019
SP - 377
EP - 387
DO - 10.5220/0007313603770387
PB - SciTePress