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Author: Andrzej Sluzek

Affiliation: Khalifa University, United Arab Emirates

ISBN: 978-989-758-198-4

Keyword(s): Visual Surveillance, CBVIR, Real Time, Keypoint Matching, Keypoint Descriptors, MSER, SIFT.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Real-Time Systems Control ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Surveillance ; Vision, Recognition and Reconstruction

Abstract: CBVIR approach to video-based surveillance is discussed. The objective is to detect in real time near-duplicates (e.g. similarly-looking objects) simultaneously appearing in concurrently captured/played videos. A novel method of keypoint matching is proposed, based on keypoint descriptions additionally incorporating visual and geometric contexts. Near-duplicate fragments can be identified by keypoint matching only. The analysis of geometric constraints (a bottleneck of typical CBVIR methods for sub-image retrieval) is not required. When the proposed method is fully implemented, high-speed and good performances can be achieved, as preliminarily shown in proof-of-concept experiments. The method is affine-invariant and employs typical keypoint detectors and descriptors (MSER and SIFT) as the low-level mechanisms.

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Paper citation in several formats:
Sluzek, A. (2016). Near-duplicate Fragments in Simultaneously Captured Videos - A Study on Real-time Detection using CBVIR Approach.In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-198-4, pages 232-237. DOI: 10.5220/0005971902320237

@conference{icinco16,
author={Andrzej Sluzek.},
title={Near-duplicate Fragments in Simultaneously Captured Videos - A Study on Real-time Detection using CBVIR Approach},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2016},
pages={232-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005971902320237},
isbn={978-989-758-198-4},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Near-duplicate Fragments in Simultaneously Captured Videos - A Study on Real-time Detection using CBVIR Approach
SN - 978-989-758-198-4
AU - Sluzek, A.
PY - 2016
SP - 232
EP - 237
DO - 10.5220/0005971902320237

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