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Suspicious loitering detection from annotated CCTV feed using CEP based approach

Smart Surveillance System is a critical system that enables automated detection of anomalous activities from live CCTV feed. The main challenge that needs to be addressed by the Smart Surveillance System is the ability to understand and detect the activities that are currently occurring within the C...

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Main Authors: Rabiah Adawiyah Shahad,, Mohd Faisal Ibrahim,, Lim, Ezra Kai Xian, Aini Hussain,, Mohamad Hanif Md Saad,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://journalarticle.ukm.my/12635/1/11.pdf
http://journalarticle.ukm.my/12635/
http://www.ukm.my/jkukm/volume-301-2018/
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spelling my-ukm.journal.126352019-03-12T10:25:38Z http://journalarticle.ukm.my/12635/ Suspicious loitering detection from annotated CCTV feed using CEP based approach Rabiah Adawiyah Shahad, Mohd Faisal Ibrahim, Lim, Ezra Kai Xian Aini Hussain, Mohamad Hanif Md Saad, Smart Surveillance System is a critical system that enables automated detection of anomalous activities from live CCTV feed. The main challenge that needs to be addressed by the Smart Surveillance System is the ability to understand and detect the activities that are currently occurring within the CCTV feed. Suspicious loitering is considered one of the anomalous activities that precede unwanted events, such as break-ins, burglary, and robbery. In this research, the Complex Event Processing (CEP) approach was selected as the system development approach for developing a Smart Surveillance System. Four types of similarity search-based event detectors, namely the Multi-Layered Event Detector for General Application (MEGA), Temporally Constrained Template Match Detector (TCD), Sliding Window Detector (SWD), and Weighted Sliding Window Detector (WSWD) were tested and evaluated to determine the best suspicious loitering event detector to be used in the Smart Surveillance System. The input data to the detectors comprised manually annotated real CCTV feed which was subjected to three noise conditions: (i) no-noise (0% noise) annotation, (ii) 25% noisy annotation and (iii) 46.8% noisy annotation. The 46.8% noisy annotation is assumed to reflect the real ambient operating condition of the Smart Surveillance System; while the no-noise condition was assumed to reflect the perfect CCTV feed acquisition and annotation process. The performance of the detectors was measured in terms of sensitivity, specificity, detection accuracy, and the area under the Receiver’s Operating Curve (ROC). The results obtained showed that MEGA is the best overall detector for suspicious loitering detection in ambient operating conditions with detection accuracy of 97.20% and area under ROC curve of 0.6117. Penerbit Universiti Kebangsaan Malaysia 2018 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12635/1/11.pdf Rabiah Adawiyah Shahad, and Mohd Faisal Ibrahim, and Lim, Ezra Kai Xian and Aini Hussain, and Mohamad Hanif Md Saad, (2018) Suspicious loitering detection from annotated CCTV feed using CEP based approach. Jurnal Kejuruteraan, 30 (1). pp. 83-91. ISSN 0128-0198 http://www.ukm.my/jkukm/volume-301-2018/
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Smart Surveillance System is a critical system that enables automated detection of anomalous activities from live CCTV feed. The main challenge that needs to be addressed by the Smart Surveillance System is the ability to understand and detect the activities that are currently occurring within the CCTV feed. Suspicious loitering is considered one of the anomalous activities that precede unwanted events, such as break-ins, burglary, and robbery. In this research, the Complex Event Processing (CEP) approach was selected as the system development approach for developing a Smart Surveillance System. Four types of similarity search-based event detectors, namely the Multi-Layered Event Detector for General Application (MEGA), Temporally Constrained Template Match Detector (TCD), Sliding Window Detector (SWD), and Weighted Sliding Window Detector (WSWD) were tested and evaluated to determine the best suspicious loitering event detector to be used in the Smart Surveillance System. The input data to the detectors comprised manually annotated real CCTV feed which was subjected to three noise conditions: (i) no-noise (0% noise) annotation, (ii) 25% noisy annotation and (iii) 46.8% noisy annotation. The 46.8% noisy annotation is assumed to reflect the real ambient operating condition of the Smart Surveillance System; while the no-noise condition was assumed to reflect the perfect CCTV feed acquisition and annotation process. The performance of the detectors was measured in terms of sensitivity, specificity, detection accuracy, and the area under the Receiver’s Operating Curve (ROC). The results obtained showed that MEGA is the best overall detector for suspicious loitering detection in ambient operating conditions with detection accuracy of 97.20% and area under ROC curve of 0.6117.
format Article
author Rabiah Adawiyah Shahad,
Mohd Faisal Ibrahim,
Lim, Ezra Kai Xian
Aini Hussain,
Mohamad Hanif Md Saad,
spellingShingle Rabiah Adawiyah Shahad,
Mohd Faisal Ibrahim,
Lim, Ezra Kai Xian
Aini Hussain,
Mohamad Hanif Md Saad,
Suspicious loitering detection from annotated CCTV feed using CEP based approach
author_facet Rabiah Adawiyah Shahad,
Mohd Faisal Ibrahim,
Lim, Ezra Kai Xian
Aini Hussain,
Mohamad Hanif Md Saad,
author_sort Rabiah Adawiyah Shahad,
title Suspicious loitering detection from annotated CCTV feed using CEP based approach
title_short Suspicious loitering detection from annotated CCTV feed using CEP based approach
title_full Suspicious loitering detection from annotated CCTV feed using CEP based approach
title_fullStr Suspicious loitering detection from annotated CCTV feed using CEP based approach
title_full_unstemmed Suspicious loitering detection from annotated CCTV feed using CEP based approach
title_sort suspicious loitering detection from annotated cctv feed using cep based approach
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2018
url http://journalarticle.ukm.my/12635/1/11.pdf
http://journalarticle.ukm.my/12635/
http://www.ukm.my/jkukm/volume-301-2018/
_version_ 1643738845200515072
score 13.211869

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