Title :
Template Tracking using Generalized Modus Tollens
Author :
Strauss, Olivier ; Comby, Frédéric
Author_Institution :
LIRMM, Univ. Montpellier II
Abstract :
This article describes an original method to track 2D templates in a video sequence. This approach is based on robust modelling of the interaction between pattern movement and grey level variations in the image using fuzzy bimodal rules. Movement estimation is performed by inverting these rules and polling the results in a quasicontinuous histogram. Some experimental results are given to illustrate the performance of this algorithm
Keywords :
fuzzy set theory; image sequences; motion estimation; object recognition; target tracking; 2D template tracking; fuzzy bimodal rules; generalized modus tollens; grey level variations; movement estimation; object position; pattern movement; quasicontinuous histogram; rule inversion; video sequence; Brightness; Cameras; Histograms; Human robot interaction; Lighting; Pixel; Robot vision systems; Robustness; Target tracking; Video sequences;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452407
