Multi-camera Video Object Recognition Using Active Contours

Joanna Isabelle Olszewska

2015

Abstract

In this paper, we propose to tackle with multiple video-object detection and recognition in a multi-camera environment using active contours. Indeed, with the growth of multi-camera systems, many computer vision frameworks have been developed, but none taking advantage of the well-established active contour method. Hence, active contours allow precise and automatic delineation of entire object's boundaries in frames, leading to an accurate segmentation and tracking of video objects displayed into the multi-view system, while our late fusion approach allows robust recognition of the detected objects in the synchronized sequences. Our active-contour-based system has been successfully tested on video-surveillance standard datasets and shows excellent performance in terms of computational efficiency and robustness compared to state-of-art ones.

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Paper Citation


in Harvard Style

Isabelle Olszewska J. (2015). Multi-camera Video Object Recognition Using Active Contours . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 379-384. DOI: 10.5220/0005334303790384


in Bibtex Style

@conference{mpbs15,
author={Joanna Isabelle Olszewska},
title={Multi-camera Video Object Recognition Using Active Contours},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2015)},
year={2015},
pages={379-384},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005334303790384},
isbn={978-989-758-069-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MPBS, (BIOSTEC 2015)
TI - Multi-camera Video Object Recognition Using Active Contours
SN - 978-989-758-069-7
AU - Isabelle Olszewska J.
PY - 2015
SP - 379
EP - 384
DO - 10.5220/0005334303790384