DocumentCode :
1871516
Title :
Evidence-based object tracking via global energy maximization
Author :
Carte, Fohn N. ; Lappas, Pelopidas ; Damper, Robert I.
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Volume :
3
fYear :
2003
fDate :
6-9 July 2003
Abstract :
This paper described a robust algorithm for arbitrary object tracking in long image sequences. This technique extends the dynamic Hough transform proposed in our earlier work to detect arbitrary shapes undergoing affine motion. The proposed tracking algorithm processes the whole image sequence globally. First, the object boundary is represented in lookup-table form, and we then perform an operation that estimates the energy of the motion trajectory in the parameter space. We assign an extra term in our cost function to incorporate smoothness of deformation. The object is actually rigid, so by ´deformation´ we mean changes due to rotation or scaling of the object. There is no need for training or initialization, and an efficient implementation can be achieved with coarse-to-fine dynamic programming and pruning. The method, because of its evidence-based nature, is robust under noise and occlusion.
Keywords :
dynamic programming; image sequences; motion estimation; table lookup; coarse-to-fine dynamic programming; evidence-based object tracking; global energy maximization; image sequences; lookup-table form; robust algorithm; Computer science; Data mining; Image sequences; Intelligent systems; Intersymbol interference; Motion detection; Robustness; Shape; Speech; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7965-9
Type :
conf
DOI :
10.1109/ICME.2003.1221279
Filename :
1221279
Link To Document :
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