Statistical Detection of Independent Movement from a Moving Camera
This paper describes the use of a low level, computationally inexpensive closed form motion detector to define regions of interest within an image, based upon statistical measures. The algorithm requires only the first order properties of the image intensities and does not require known camera motion. It has been tested on a variety of real imagery. A b-spline snake is initialised on the occluding contours of this region of interest.
KeywordsOptical Flow Camera Motion Foreground Object Motion Segmentation Background Motion
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- G. Adiv. Inherent ambiguities in recovering 3-d motion and structure from a noisy flow field. In Proceedings, CVPR ’85 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 10–13, 1985) ,IEEE Publ. 85CH2145-1., pages 70–77. IEEE, IEEE, 1985.Google Scholar
- E. François and Bouthemy P. Multiframe based identification of mobile components of a scene with a moving camera. In Proc. CVPR., 1991.Google Scholar
- R.C. Nelson. Qualitative detection of motion by a moving observer. IJCV ,pages 33–46, 1991.Google Scholar
- A. Verri and T. Poggio. Against quantitative optical flow. In First International Conference on Computer Vision, (London, England, June 8–11, 1987) ,pages 171–180, Washington, DC, 1987. IEEE Computer Society Press.Google Scholar