Abstract
Moving object detection has been widely used in intelligent video surveillance system. This paper proposes a new moving object detection method based on enhanced edge localization mechanism and gradient directional masking. In our proposed method, initially gradient map images are generated from the input image and the background image using gradient operator. The gradient difference map is then calculated from gradient map images. Finally, the moving object is extracted by using appropriate directional masking and thresholding. Simulation results indicate that the proposed method outperforms conventional edge based methods under different illumination conditions including indoor, outdoor, and foggy cases to detect moving object. In addition, it is computationally faster and applicable for real-time processing.
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Dhar, P.K., Khan, M.I., Hasan, D.M.H., Kim, JM. (2011). Enhanced Edge Localization and Gradient Directional Masking for Moving Object Detection. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_25
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DOI: https://doi.org/10.1007/978-3-642-27183-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27182-3
Online ISBN: 978-3-642-27183-0
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