Visual Tracking by Adaptive Kalman Filtering and Mean Shift
Authors:
- 1 January 2010
- book chapter
- Published by Springer Nature
- p. 153-162
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Differential Earth Mover's Distance with Its Applications to Visual TrackingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
- New method for dynamic bias estimation: Gaussian mean shift registrationOptical Engineering, 2008
- Head Detection and Tracking by Mean-Shift and Kalman Filter2008
- Robust tracking with motion estimation and local Kernel-based color modelingImage and Vision Computing, 2007
- Multiple Collaborative Kernel TrackingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
- Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking2006
- Multiple kernel tracking with SSD2004
- Contour-based object tracking with occlusion handling in video acquired using mobile camerasIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
- Kernel-based object trackingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
- CONDENSATION—Conditional Density Propagation for Visual TrackingInternational Journal of Computer Vision, 1998