Abstract
Visual tracking based on pattern matching is a very used computer vision technique in a wide range of applications [4]. Updating the template of reference is a crucial aspect for a correct working of this kind of algorithms. This paper proposes a new approach to the updating problem in order to achieve a better performance and robustness of tracking. This is carried out using a representation technique based on second order isomorphisms. The proposed technique has been compared experimentally with other existing approaches with excellent results. The most important improvements of this approach is its parameter-free working, therefore no parameters have to be set up manually in order to tune the process. Besides, objects to be tracked can be rigid or deformable, the system is adapted automatic and robustly to any situation.
This work has been partially supported by the Spanish Ministry of Education and Science and FEDER funds under research project TIN2004-07087, the Canary Islands Regional Goverment under projects PI2003/165 and PI2003/160 and the University of Las Palmas under projects UNI2003/10, UNI2004/10 and UNI2004/25.
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Guerra, C., Hernández, M., Domínguez, A., Hernández, D. (2005). A New Approach to the Template Update Problem. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_27
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DOI: https://doi.org/10.1007/11492429_27
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