Definition
Motion saliency helps to detect moving objects whose motion is discontinuous to its background.
Introduction
Video analysis applied to surveillance is a growing research area in computer vision. The recent rapid expand in the number of surveillance cameras has led to a strong demand for algorithms able to process their responses. The scientific challenge is to invent and implement automatic systems for obtaining detailed information about the activities and behaviors of people or vehicles observed by stationary or moving cameras. In many applications, simple low level information about the positions of people and vehicles is useful. However, the full benefits of video surveillance will only be realized with the development of wide area networks of cameras capable of building up high level descriptions of scene activity over timeFootnote 1. Motion saliency denotes the conspicuous state of an object in a video. It is based on the detection of motion, which defines...
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Notes
- 1.
As stated in the preface of the proceedings of the 9th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2006), June 18, 2006, New York, USA.
References
H. Xiaodi, Z. Liqing, “Saliency Detection: A Spectral Residual Approach,” CVPR’07, pp: 1–8, June 2007.
M. Yu-Fei, Z. Hong-Jiang, “A Model of Motion Attention for Video Skimming,” ICIP’02, Vol. 1, 2002, pp. I-129–I-132.
L. Itti, C. Koch, “Computational Modeling of Visual Attention,” Nature Reviews Neuroscience, Vol. 2, No. 3, Mar 2001, pp. 194–203.
L. Itti, C. Koch, and E. Niebur, “A Model of Saliency-Based Visual Attention for Rapid Scene Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 11, November 1998, pp. 1254–1259.
W. Dirk, “Interactions of Visual Attention and Object Recognition: Computational Modeling, Algorithms, and Psychophysics,” PhD Thesis, California Institute of Technology Pasadena, California, 2006.
L. Shan, M.C. Lee, “Fast Visual Tracking Using Motion Saliency in Video,” ICASSP’07, Vol. 1, 2007, pp. I-1073–I-1076.
M. Bollmann, R. Hoischen, and B. Mertsching, “Integration of Static and Dynamic Scene Features Guiding Visual Attention,” in E. Paulus and F.M. Wahl (Eds.), Mustererkennung, Springer, Berlin, 1997, pp. 483–490.
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Haidar Sharif, M., Martinet, J., Djeraba, C. (2008). Motion Saliency. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_39
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