Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
An application of simultaneous perturbation stochastic approximation (SPSA) algorithm with two measurements per iteration to the problem of object tracking on video is discussed. The upper bound of mean square estimation error is determined in case of once differentiable functional and almost arbitrary noises. Weak restrictions on uncertainty allow to use random sampling instead of full pixelwise difference calculation. The experiments show significant increase in performance of object tracking comparing to the classical Lucas-Kanade algorithm. The results can be generalized to improve more recent kernel-based tracking methods.
Original language | English |
---|---|
Title of host publication | NESTER 2009: NETWORKED EMBEDDED AND CONTROL SYSTEM TECHNOLOGIES: EUROPEAN AND RUSSIAN R&D COOPERATION, PROCEEDINGS |
Editors | A Pascoal, Ufnarovsky |
Publisher | Institute for Systems and Technologies of Information, Control and Communication |
Pages | 66-74 |
Number of pages | 9 |
ISBN (Print) | 978-989-674-004-7 |
State | Published - 2009 |
Event | 1st International Workshop on Networked Embedded and Control System Technologies/European and Russian R&D Cooperation Workshop - Milan, Italy Duration: 4 Jul 2009 → 5 Jul 2009 |
Conference | 1st International Workshop on Networked Embedded and Control System Technologies/European and Russian R&D Cooperation Workshop |
---|---|
Country/Territory | Italy |
City | Milan |
Period | 4/07/09 → 5/07/09 |
ID: 4405009