Improved Background Subtraction Technique for Detecting Moving Objects

Introduction: Moving object detection from videos is among the most difficult task in different areas of computer vision applications. Among the traditional object detection methods, researchers conclude that the Background Subtraction method performs better in aspects of execution time and output quality. Method: Visual background extractor is a renowned algorithm in the Background Subtraction method for detecting a moving object in various applications. In recent years, a lot of research has been carried out to improve the existing Visual Background extractor algorithm. Results: After investigating many state of the art techniques and finding out the research gaps, this paper presents an improved background subtraction technique based on morphological operation and 2D median filter for detecting moving object which reduces the noise in the output video and also enhances its accuracy at a very limited additional cost. Experimental results in several benchmark datasets confirmed the superiority of the proposed method over the state-of-the-art object detection methods. Conclusion: In this article, a method has been proposed for the detection of a moving object where the quality of the output object is enhanced and good accuracy is achieved. This method provides accurate experimental results, which help in efficient object detection. The proposed technique also deals with Visual Background extractor Algorithm along with the Image Enhancement Procedure like Morphological and 2-D Filtering at a limited additional cost Discussion: This article worked on a certain specific field, like noise reduction and image enhancement of output images of the existing ViBe Algorithm. The technique proposed in this article will be beneficial for various computer vision applications like video surveillance, road condition monitoring, airport safety, human activity analysis, monitoring the marine border for security purposes, etc. © 2021 Bentham Science Publishers.