Hazardous based area mapping for surveillance monitoring
One of the current research problems in the field of visual surveillance is optimizing the locations of the visual sensors. The efficiency of visual sensor localization becomes increasingly demanding as it can directly impact the efficiency of allocated resources as well as system performance. This...
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Institute of Electrical and Electronics Engineers Inc.
2014
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my.utp.eprints.313002022-03-25T09:05:31Z Hazardous based area mapping for surveillance monitoring Altahir, A.A. Asirvadam, V.S. Hamid, N.H.B. Sebastian, P. One of the current research problems in the field of visual surveillance is optimizing the locations of the visual sensors. The efficiency of visual sensor localization becomes increasingly demanding as it can directly impact the efficiency of allocated resources as well as system performance. This problem can be divided to two sub-problems namely how to prioritize the area of interest and how to optimize the positioning of the cameras. This paper introduces a novel method for hazardous based area classification for visual surveillance purposes. The mapping process relies on per pixel weighting mechanism to evaluate the contribution of each pixel in the map plane in the overall significance of the area. This process is followed by proposing a combination of prior knowledge of the area with analyzing the generated edges to localizing the possible position set. The proposed technique is capable of locating the possible set of the visual sensor positions which is considered a primary requirement for the optimization of the camera placement problem. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946692170&doi=10.1109%2fICCSCE.2014.7072680&partnerID=40&md5=c215e3ab0665b444be833c811d626284 Altahir, A.A. and Asirvadam, V.S. and Hamid, N.H.B. and Sebastian, P. (2014) Hazardous based area mapping for surveillance monitoring. In: UNSPECIFIED. http://eprints.utp.edu.my/31300/ |
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One of the current research problems in the field of visual surveillance is optimizing the locations of the visual sensors. The efficiency of visual sensor localization becomes increasingly demanding as it can directly impact the efficiency of allocated resources as well as system performance. This problem can be divided to two sub-problems namely how to prioritize the area of interest and how to optimize the positioning of the cameras. This paper introduces a novel method for hazardous based area classification for visual surveillance purposes. The mapping process relies on per pixel weighting mechanism to evaluate the contribution of each pixel in the map plane in the overall significance of the area. This process is followed by proposing a combination of prior knowledge of the area with analyzing the generated edges to localizing the possible position set. The proposed technique is capable of locating the possible set of the visual sensor positions which is considered a primary requirement for the optimization of the camera placement problem. © 2014 IEEE. |
format |
Conference or Workshop Item |
author |
Altahir, A.A. Asirvadam, V.S. Hamid, N.H.B. Sebastian, P. |
spellingShingle |
Altahir, A.A. Asirvadam, V.S. Hamid, N.H.B. Sebastian, P. Hazardous based area mapping for surveillance monitoring |
author_facet |
Altahir, A.A. Asirvadam, V.S. Hamid, N.H.B. Sebastian, P. |
author_sort |
Altahir, A.A. |
title |
Hazardous based area mapping for surveillance monitoring |
title_short |
Hazardous based area mapping for surveillance monitoring |
title_full |
Hazardous based area mapping for surveillance monitoring |
title_fullStr |
Hazardous based area mapping for surveillance monitoring |
title_full_unstemmed |
Hazardous based area mapping for surveillance monitoring |
title_sort |
hazardous based area mapping for surveillance monitoring |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2014 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946692170&doi=10.1109%2fICCSCE.2014.7072680&partnerID=40&md5=c215e3ab0665b444be833c811d626284 http://eprints.utp.edu.my/31300/ |
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