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Reseach Article

Moving Object Segmentation in a Video Sequence using Optical Flow and Motion Histogram Technique

by Mehul C Parikh, Kishor G. Maradia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 16
Year of Publication: 2015
Authors: Mehul C Parikh, Kishor G. Maradia
10.5120/20417-2728

Mehul C Parikh, Kishor G. Maradia . Moving Object Segmentation in a Video Sequence using Optical Flow and Motion Histogram Technique. International Journal of Computer Applications. 116, 16 ( April 2015), 1-7. DOI=10.5120/20417-2728

@article{ 10.5120/20417-2728,
author = { Mehul C Parikh, Kishor G. Maradia },
title = { Moving Object Segmentation in a Video Sequence using Optical Flow and Motion Histogram Technique },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 16 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number16/20417-2728/ },
doi = { 10.5120/20417-2728 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:57:15.889378+05:30
%A Mehul C Parikh
%A Kishor G. Maradia
%T Moving Object Segmentation in a Video Sequence using Optical Flow and Motion Histogram Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 16
%P 1-7
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The moving object detection and tracking in video sequence is significant research area in the field of computer vision and image processing. Object detection and tracking is key step for object recognition, navigation systems and surveillance systems. An effort has been made to develop an approach for moving object detection in video sequence, based on motion segmentation using optical flow and motion histogram. The algorithm has been described in detail and its competence was checked by performing simulation experiments. ROC comparison shows that this algorithm gives better result than traditional methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Motion Segmentation Feature Extraction Object Detection Optical Flow Motion Histogram Receiver Operating Characteristic Curve