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

by Mehul C Parikh, Kishor G. Maradia
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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.

References
  1. Soon Yong Park. , Chang Joon Park, and Inho Lee, "Moving Object Removal and Background Completion in a Video Sequence", citeseerx. ist. psu. edu,doi:10. 1. 1. 118. 385,2008
  2. Shao-Yi Chien. ,Shyh-Yih Ma, and Liang-Gee Chen, "Efficient Moving Object Segmentation Algorithm using Background Registration Technique",IEEE transcation on circuit and system of video technology, 12 (7), July-2002,pp. 577- 586.
  3. Jie Cao, Li Li, "Vehicle Objects Detection of Video Image Based on Gray Scale Characteristics", in First International workshop on Education technology and computer science, March-2009, pp. 936-940.
  4. Liu Liu. , Jian-Xun Li. , "A Novel Shot Segmentation Algorithm based on Motion Edge feature", in Symposium on Photonics and Opto electronic,19-21 June,2010, pp. 1-5.
  5. Jie he,Kebin Jia, Zhuoyi Lv,"A Fast and Robust Algorithm of Detection and Segmentation for Moving Object", in Fifth International Conference on Intelligent Information and Multimedia Signal Processing, 12-14 Sept. 2009, pp. 718-721.
  6. Shijie Zhang,Fred Stentiform. , "Motion Segmentation using Region Growing And An Attention Based Algorithm", in Fourth European Conference on Visual Media Production, 27-18,Nov. -2007, pp. 1-8.
  7. Saeed Kamel,Hossein Ebrahimnezhad, Afshin Ebrahimi. ,"Moving Object Removal in Video Sequence and Background Restoration using Kalman Filter", in International Symposium on Telecommunications, 27-28 Aug-2008, pp. 580-585.
  8. Wei Zhang, Q. M. Jonathan Wu, Hai bing Yin, "Moving vehicles detection based on adaptive motion histogram",Elsevier- Digital Signal Processing 20 ,2010,pp793-805.
  9. B. D. Lucas and T. Kanade, "An Iterative Image Registration Technique with an Application to Stereo Vision", in DARPA Image Understanding Workshop", 1981, IJCAI, pp121-130.
  10. "Receiver Operating Characteristics (ROC) Curve Preparation - A Tutorial","Boston: Massachusetts Water Resources Authority Report" ENQUAD 2005.
  11. B. K. P. Horn and B. G. Schunck, "Determining Optical Flow", Artificial Intelligence",17, 1981,pp 185-204.
  12. E. P. Simoncelli, "Design of multi-dimensional derivative filters", IEEE International Conference on Image Processing", Vol. 1,1994,pp790-793.
  13. Anand Paul, K. Bharanitharan and Jiaji Wu, "Algorithm and Architecture for Adaptive Motion Estimation in Video Processing", IETE Technical Review, Vol. 30, Issue 1,Jan-Feb- 2013, pp 24-30.
  14. J. L. Barron and N. A. Thacker "Tutorial: Computing 2D and 3D Optical Flow", Tina Memo No. 2004-012
Index Terms

Computer Science
Information Sciences

Keywords

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

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