Target Positioning with Dominant Feature Elements
We propose a dominant-feature based matching method for capturing a target in a video sequence through the dynamic decomposition of the target template. The target template is segmented via intensity bands to better distinguish itself from the local background. Dominant feature elements are extracted from such segments to measure the matching degree of a candidate target via a sum of similarity probabilities. In addition, spatial filtering and contour adaptation are applied to further refine the object location and shape. The implementation of the proposed method has shown its effectiveness in capturing the target in a moving background and with non-rigid object motion.
KeywordsObject detection object tracking
Unable to display preview. Download preview PDF.
- 9.Elgammal, A., Duraiswami, R., Davis, L.S.: Probabilistic Tracking in Joint Feature-Spatial Spaces. IEEE Computer Vision and Pattern Recognition 1, 1 (2003)Google Scholar
- 14.Cham, T.J., Rehg, J.M.: A Multiple Hypothesis Approach to Figure Tracking. Computer Vision and Pattern Recognition (CVPR 1999), Ft. Collins, CO, pp. 239-245 (June 1999)Google Scholar
- 15.Huang, Z.Q., Jiang, Z.: Tracking Camouflaged Objects with Weighted Region Consolidation. In: Lovell, B.C., et al. (eds.) DICTA 2005. Proceedings of Digital Image Computing: Technqiues and Application, pp. 161–168. IEEE Press, NJ, New York (2005)Google Scholar