Hyperplane approximation for template matching

Frédéric Jurie 1 Michel Dhome 2
1 image
LASMEA - Laboratoire des sciences et matériaux pour l'électronique et d'automatique
Abstract : Hager and Belhumeur (1998) proposed a general framework for object tracking in video images. It consists of low-order parametric models for the image motion of a target region. These models are used to predict movement and to track the target. The difference in intensity between the pixels belonging to the current region and the pixels of the selected target (learned during an offline stage) allows a straightforward prediction of the region position in the current image. The main aim of the article is to propose an important improvement within this framework, making the convergence faster with the same amount of online computation
Document type :
Journal articles
Liste complète des métadonnées

https://hal.inria.fr/inria-00548267
Contributor : Thoth Team <>
Submitted on : Tuesday, March 12, 2019 - 11:03:38 AM
Last modification on : Friday, April 12, 2019 - 9:56:16 AM

File

Hyperplane_approximation_for_t...
Files produced by the author(s)

Identifiers

Citation

Frédéric Jurie, Michel Dhome. Hyperplane approximation for template matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2002, 24 (7), pp.996--1000. ⟨http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1017625⟩. ⟨10.1109/TPAMI.2002.1017625⟩. ⟨inria-00548267⟩

Share

Metrics

Record views

513

Files downloads

211