Background subtraction algorithm for moving object detection using SAMEER-TU dataset

Abstract

Identifying moving objects plays an important role in video-based applications. In this paper, a background subtraction approach for object detection technique is proposed, which is an improvised version of an existing background subtraction algorithm called visual background extractor (ViBe). Here, the performance of the existing technique has been modified by a median filter. This technique is implemented on different existing databases and also on newly created Society of Applied Microwave Electronics Engineering and Research-Tripura University (SAMEER-TU) dataset. The detection accuracy of the technique is also measured, and a comparison is also carried out between existing and proposed technique, and results are reported in experimental results, in terms of detection accuracy for color video sequence.