Tracking with General Regression

WW Mayol-Cuevas, DW Murray

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)


A method is developed to track planar and near-planar objects by incorporating a model of the expected image template distortion, and fitting the sampling region to pre-trained examples with general regression. The approach does not assume a particular form of the underlying space, allows a natural handling of occluding objects, and permits dynamic changes of the scale and size of the sampled region. The implementation of the algorithm runs comfortably in modest hardware at video-rate.
Translated title of the contributionTracking with General Regression
Original languageEnglish
Article number65-72
Pages (from-to)65 - 72
Number of pages8
JournalMachine Vision and Applications
Volume19 (1)
Publication statusPublished - Jan 2008

Bibliographical note

Publisher: Springer


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