Moving object detection based on frame difference and W4

Moving object detection based on frame difference and W4 Moving object detection is a basic and important task on automated video surveillance systems, because it gives the focus of attention for further examination. Frame differencing and W4 algorithm can be individually employed to detect the moving objects. However, the detected results of the individual approach are not accurate due to foreground aperture and ghosting problems. We propose an approach to segment the moving objects using both the frame differencing and W4 algorithm to overcome the above problems. Here first we compute the difference between consecutive frames using histogram-based frame differencing technique, next W4 algorithm is applied on frame sequences, and subsequently, the outcomes of the frame differencing and W4 algorithm are combined using logical ‘OR’ operation. Finally, morphological operation with connected component labeling is employed to detect the moving objects. The experimental results and performance evaluation on real video datasets demonstrate the effectiveness of our approach in comparison with existing techniques. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Signal, Image and Video Processing" Springer Journals

Moving object detection based on frame difference and W4

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Publisher
Springer London
Copyright
Copyright © 2017 by Springer-Verlag London
Subject
Engineering; Signal,Image and Speech Processing; Image Processing and Computer Vision; Computer Imaging, Vision, Pattern Recognition and Graphics; Multimedia Information Systems
ISSN
1863-1703
eISSN
1863-1711
D.O.I.
10.1007/s11760-017-1093-8
Publisher site
See Article on Publisher Site

Abstract

Moving object detection is a basic and important task on automated video surveillance systems, because it gives the focus of attention for further examination. Frame differencing and W4 algorithm can be individually employed to detect the moving objects. However, the detected results of the individual approach are not accurate due to foreground aperture and ghosting problems. We propose an approach to segment the moving objects using both the frame differencing and W4 algorithm to overcome the above problems. Here first we compute the difference between consecutive frames using histogram-based frame differencing technique, next W4 algorithm is applied on frame sequences, and subsequently, the outcomes of the frame differencing and W4 algorithm are combined using logical ‘OR’ operation. Finally, morphological operation with connected component labeling is employed to detect the moving objects. The experimental results and performance evaluation on real video datasets demonstrate the effectiveness of our approach in comparison with existing techniques.

Journal

"Signal, Image and Video Processing"Springer Journals

Published: Apr 17, 2017

References

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