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Theft Detection System Through Thresholding Technique with Background Subtraction Method


Affiliations
1 Department of Computer Applications, Sri Krishna College of Engineering and Technology, Coimbatore-641042, India
2 Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam-638401, India
3 Department of Computer Applications, Bannari Amman Institute of Technology, Sathyamangalam-638401, India
     

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Image background segmentation is one of the most prominent steps in many applications of the image processing. Several algorithms exist for the background segmentation from the dynamic scenes of a video sequence. However, elimination of background from the static images still remains a challenging task. Although trivial background subtraction algorithms can execute quickly, they do not give useful results in most situations. This paper addresses the issue of identifying and segmenting theft images captured from the background regions of the image to alert the user. Objective is to segment foreground object from the background region. An alert signal is produced to enable the user to initiate suitable action.

Keywords

Gray Scale Image, Histogram, Intensity Threshold, Segmentation, Theft Detection.
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  • Theft Detection System Through Thresholding Technique with Background Subtraction Method

Abstract Views: 233  |  PDF Views: 2

Authors

R. Athilakshmi
Department of Computer Applications, Sri Krishna College of Engineering and Technology, Coimbatore-641042, India
Amitabh Wahi
Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam-638401, India
B. Nagarajan
Department of Computer Applications, Bannari Amman Institute of Technology, Sathyamangalam-638401, India

Abstract


Image background segmentation is one of the most prominent steps in many applications of the image processing. Several algorithms exist for the background segmentation from the dynamic scenes of a video sequence. However, elimination of background from the static images still remains a challenging task. Although trivial background subtraction algorithms can execute quickly, they do not give useful results in most situations. This paper addresses the issue of identifying and segmenting theft images captured from the background regions of the image to alert the user. Objective is to segment foreground object from the background region. An alert signal is produced to enable the user to initiate suitable action.

Keywords


Gray Scale Image, Histogram, Intensity Threshold, Segmentation, Theft Detection.