Ramasamy, T. and Asirvadam, V. and Sebastian, P. (2011) Detecting background setting for dynamic scene. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Processing Real-Time image sequence is now possible because of advancement of technological developments in digital signal processing, wide-band communication, and high-performance VLSI. With the developments in video technology, the surveillance system can be built with some low cost gadget such as the web-camera. In this modern life with increasing number of crime rate, people in society need for security and safety; video surveillance has become important reason to oppose threats of crime and terrorism. The most fundamental part of surveillance is foreground detection, which is retrieval of an object of interest. The object of interest can remodel by common background subtraction technique. There is some problem arises by using this technique, where because of variation of light source, the background constantly changes. The intensity of pixel changes throughout the object detection takes place. Intensity of pixel value changes leads to improper foreground detection, the background detected as foreground object. This paper proposes a method to model and update the background of the scene by intersection solving method. © 2011 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 2; Conference of 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 ; Conference Date: 4 March 2011 Through 6 March 2011; Conference Code:84971 |
Uncontrolled Keywords: | Background modeling; Background Subtraction; Background subtraction techniques; Dynamic scenes; Foreground detection; Foreground objects; Low costs; Machine Vision; Object Detection; Object of interests; Pixel values; Real-time images; Solving method; Surveillance systems; Technological development; Video Surveillance; Video technologies; Wide-band communications, Computer vision; Crime; Light sources; Monitoring; Pixels; Security systems; User interfaces, Signal detection |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:50 |
Last Modified: | 09 Nov 2023 15:50 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2084 |