Moving Object Detection for Real Time Video Surveillance: An Edge Based Approach

M. Julius HOSSAIN; M. Ali Akber DEWAN; Oksam CHAE

doi:10.1093/ietcom/e90-b.12.3654

Moving Object Detection for Real Time Video Surveillance: An Edge Based Approach

M. Julius HOSSAIN, M. Ali Akber DEWAN, Oksam CHAE

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This paper presents an automatic edge segment based algorithm for the detection of moving objects that has been specially developed to deal with the variations in illumination and contents of background. We investigated the suitability of the proposed edge segment based moving object detection algorithm in comparison with the traditional intensity based as well as edge pixel based detection methods. In our method, edges are extracted from video frames and are represented as segments using an efficiently designed edge class. This representation helps to obtain the geometric information of edge in the case of edge matching and shape retrieval; and creates effective means to incorporate knowledge into edge segment during background modeling and motion tracking. An efficient approach for background edge generation and a robust method of edge matching are presented to effectively reduce the risk of false alarm due to illumination change and camera motion while maintaining the high sensitivity to the presence of moving object. The proposed method can be successfully realized in video surveillance applications in home networking environment as well as various monitoring systems. As, video coding standard MPEG-4 enables content based functionality, it can successfully utilize the shape information of the detected moving objects to achieve high coding efficiency. Experiments with real image sequences, along with comparisons with some other existing methods are presented, illustrating the robustness of the proposed algorithm.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.12 pp.3654-3664

Publication Date: 2007/12/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.12.3654

Type of Manuscript: PAPER

Category: Multimedia Systems for Communications

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M. Julius HOSSAIN, M. Ali Akber DEWAN, Oksam CHAE, "Moving Object Detection for Real Time Video Surveillance: An Edge Based Approach" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 12, pp. 3654-3664, December 2007, doi: 10.1093/ietcom/e90-b.12.3654.
Abstract: This paper presents an automatic edge segment based algorithm for the detection of moving objects that has been specially developed to deal with the variations in illumination and contents of background. We investigated the suitability of the proposed edge segment based moving object detection algorithm in comparison with the traditional intensity based as well as edge pixel based detection methods. In our method, edges are extracted from video frames and are represented as segments using an efficiently designed edge class. This representation helps to obtain the geometric information of edge in the case of edge matching and shape retrieval; and creates effective means to incorporate knowledge into edge segment during background modeling and motion tracking. An efficient approach for background edge generation and a robust method of edge matching are presented to effectively reduce the risk of false alarm due to illumination change and camera motion while maintaining the high sensitivity to the presence of moving object. The proposed method can be successfully realized in video surveillance applications in home networking environment as well as various monitoring systems. As, video coding standard MPEG-4 enables content based functionality, it can successfully utilize the shape information of the detected moving objects to achieve high coding efficiency. Experiments with real image sequences, along with comparisons with some other existing methods are presented, illustrating the robustness of the proposed algorithm.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.12.3654/_p

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@ARTICLE{e90-b_12_3654,
author={M. Julius HOSSAIN, M. Ali Akber DEWAN, Oksam CHAE, },
journal={IEICE TRANSACTIONS on Communications},
title={Moving Object Detection for Real Time Video Surveillance: An Edge Based Approach},
year={2007},
volume={E90-B},
number={12},
pages={3654-3664},
abstract={This paper presents an automatic edge segment based algorithm for the detection of moving objects that has been specially developed to deal with the variations in illumination and contents of background. We investigated the suitability of the proposed edge segment based moving object detection algorithm in comparison with the traditional intensity based as well as edge pixel based detection methods. In our method, edges are extracted from video frames and are represented as segments using an efficiently designed edge class. This representation helps to obtain the geometric information of edge in the case of edge matching and shape retrieval; and creates effective means to incorporate knowledge into edge segment during background modeling and motion tracking. An efficient approach for background edge generation and a robust method of edge matching are presented to effectively reduce the risk of false alarm due to illumination change and camera motion while maintaining the high sensitivity to the presence of moving object. The proposed method can be successfully realized in video surveillance applications in home networking environment as well as various monitoring systems. As, video coding standard MPEG-4 enables content based functionality, it can successfully utilize the shape information of the detected moving objects to achieve high coding efficiency. Experiments with real image sequences, along with comparisons with some other existing methods are presented, illustrating the robustness of the proposed algorithm.},
keywords={},
doi={10.1093/ietcom/e90-b.12.3654},
ISSN={1745-1345},
month={December},}

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TY - JOUR
TI - Moving Object Detection for Real Time Video Surveillance: An Edge Based Approach
T2 - IEICE TRANSACTIONS on Communications
SP - 3654
EP - 3664
AU - M. Julius HOSSAIN
AU - M. Ali Akber DEWAN
AU - Oksam CHAE
PY - 2007
DO - 10.1093/ietcom/e90-b.12.3654
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2007
AB - This paper presents an automatic edge segment based algorithm for the detection of moving objects that has been specially developed to deal with the variations in illumination and contents of background. We investigated the suitability of the proposed edge segment based moving object detection algorithm in comparison with the traditional intensity based as well as edge pixel based detection methods. In our method, edges are extracted from video frames and are represented as segments using an efficiently designed edge class. This representation helps to obtain the geometric information of edge in the case of edge matching and shape retrieval; and creates effective means to incorporate knowledge into edge segment during background modeling and motion tracking. An efficient approach for background edge generation and a robust method of edge matching are presented to effectively reduce the risk of false alarm due to illumination change and camera motion while maintaining the high sensitivity to the presence of moving object. The proposed method can be successfully realized in video surveillance applications in home networking environment as well as various monitoring systems. As, video coding standard MPEG-4 enables content based functionality, it can successfully utilize the shape information of the detected moving objects to achieve high coding efficiency. Experiments with real image sequences, along with comparisons with some other existing methods are presented, illustrating the robustness of the proposed algorithm.
ER -