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.
"Signal, Image and Video Processing" – Springer Journals
Published: Apr 17, 2017
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