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Authors: Peng Dai ; Linmi Tao and Guangyou Xu

Affiliation: Key Lab on Pervasive Computing, Ministry of Education, Tsinghua University, China

Keyword(s): On-the-spot archiving, dynamic context, human detection and tracking, meeting scenarios.

Abstract: As a significant part of context-aware systems, human-centered visual processing is required to be adaptive and interactive within dynamic context in real-life situation. In this paper a novel bottom-up and top-down integrated approach is proposed to solve the problem of dynamic context driven visual processing in meeting scenarios. A set of visual detection, tracking and verification modules are effectively organized to extract rough-level visual information, based on which a bottom-up context analysis is performed through Bayesian Network. In reverse, results of scene analysis are applied as top-down guidance to control refined level visual processing. The system has been tested under real-life meeting environment that includes three typical scenarios: speech, discussion and meeting break. The experiments show the effectiveness and robustness of our approach within continuously changing meeting scenarios and dynamic context.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Dai, P.; Tao, L. and Xu, G. (2007). DYNAMIC CONTEXT DRIVEN HUMAN DETECTION AND TRACKING IN MEETING SCENARIOS. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Human Presence Detection for Context-aware Systems; ISBN 978-972-8865-75-7; ISSN 2184-4321, SciTePress, pages 31-38. DOI: 10.5220/0002070200310038

@conference{human presence detection for context-aware systems07,
author={Peng Dai. and Linmi Tao. and Guangyou Xu.},
title={DYNAMIC CONTEXT DRIVEN HUMAN DETECTION AND TRACKING IN MEETING SCENARIOS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Human Presence Detection for Context-aware Systems},
year={2007},
pages={31-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002070200310038},
isbn={978-972-8865-75-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Human Presence Detection for Context-aware Systems
TI - DYNAMIC CONTEXT DRIVEN HUMAN DETECTION AND TRACKING IN MEETING SCENARIOS
SN - 978-972-8865-75-7
IS - 2184-4321
AU - Dai, P.
AU - Tao, L.
AU - Xu, G.
PY - 2007
SP - 31
EP - 38
DO - 10.5220/0002070200310038
PB - SciTePress

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