Enhanced Denoising Algorithm for Improving Quality of Objects in Frames for Video Surveillance
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 5
Abstract
Abstract: In the 21st century’s security awareness scenario, video surveillance plays an important role in improving security to people and property. Fully automatic surveillance systems are much sought after by both public and government organizations. These systems perform surveillance in four steps, namely, object detection, tracking, classification and interpretation. After object detection, more often, the detected objects have noise and insignificant extra objects; the presence of which effects the performance of the subsequent stepslike tracking and classification. In order to solve this issue, this paper presents an algorithm that performs noise detection, noise removal with a post processing procedure using enhanced morphological operations to remove extra objects. This algorithm considers three types of noise, namely, Gaussian, Salt & Pepper and Speckle,which are detected using a trained support vector machine classifier. After detection, the noises are removed using appropriate noise removal methods. Experimental results show that the efficiency of the proposed enhancement algorithm in terms of noise detection accuracy and enhancement quality is high and can be used to improve the operations of automatic video surveillance systems
Authors and Affiliations
P. Vijayakumar , A. V. Senthilkumar
Keywords
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