Skip to Main content Skip to Navigation
New interface
Journal articles

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
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : THOTH Team Connect in order to contact the contributor
Submitted on : Tuesday, March 12, 2019 - 11:03:38 AM
Last modification on : Tuesday, October 5, 2021 - 4:48:03 PM
Long-term archiving on: : Thursday, June 13, 2019 - 1:43:11 PM


Files produced by the author(s)




Frédéric Jurie, Michel Dhome. Hyperplane approximation for template matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24 (7), pp.996--1000. ⟨10.1109/TPAMI.2002.1017625⟩. ⟨inria-00548267⟩



Record views


Files downloads