Contour/texture approach for visual tracking

Lucie Masson 1 Michel Dhome 1 Frédéric Jurie 2
2 image
LASMEA - Laboratoire des sciences et matériaux pour l'électronique et d'automatique
Abstract : In this article, the problem of real-time hybrid contour/texture tracking for planar objects is addressed. On one hand, a lot of methods have been proposed to track objects from their contours. On the other hand, numerous other tracking algorithms deal with texture. In real situations, objects can unfortunately rarely be divided so clearly. Therefore, an hybrid tracking approach, able to mix texture and contour information, appears to be very useful. The proposed approach is very simple and efficient. It is based on image differences, which are the differences between object aspects in the image and aspects predicted using a parametric transformation model. Knowing a difference image, the proposed algorithm only need a matrix multiplication to estimate motion parameters. This is possible due to the use of an off-line learning stage.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/inria-00548228
Contributor : Thoth Team <>
Submitted on : Monday, December 20, 2010 - 8:42:04 AM
Last modification on : Friday, April 12, 2019 - 9:56:16 AM

Links full text

Identifiers

Citation

Lucie Masson, Michel Dhome, Frédéric Jurie. Contour/texture approach for visual tracking. 13th Scandinavian Conference on Image Analysis (SCIA 2003), Jun 2003, Halmstad, Sweden. pp.21--32, ⟨10.1007/3-540-45103-X_88⟩. ⟨inria-00548228⟩

Share

Metrics

Record views

100