Robust regression methods for computer vision: a review
International Journal of Computer Vision
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
ASSET-2: Real-Time Motion Segmentation and Shape Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Real-time Computer Vision System for Measuring Traffic Parameters
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real Time Face and Object Tracking as a Component of a Perceptual User Interface
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalizing the Lucas-Kanade algorithm for histogram-based tracking
Pattern Recognition Letters
Incorporating symmetry into the Lucas-Kanade framework
Pattern Recognition Letters
Drift-correcting template update strategy for precision feature point tracking
Image and Vision Computing
Region covariance matrix-based object tracking with occlusions handling
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
A robust template tracking algorithm with weighted active drift correction
Pattern Recognition Letters
Face tracking using adaptive appearance models and convolutional neural network
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
High-performance template tracking
Journal of Visual Communication and Image Representation
Efficient and robust multi-template tracking using multi-start interactive hybrid search
Computer Vision and Image Understanding
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We propose an efficient robust version of the Lucas-Kanade template matching algorithm. The robust weights used by the algorithm are based on evidence which is accumulated over many frames. We also present a robust extension of the algorithm proposed by Matthews et al. [Matthews, I., Ishikawa, T., Baker, S., 2004. The template update problem. IEEE Trans. Pattern Anal. Machine Intell. 26 (6), 810-815] which corrects the template drift. We demonstrate that in terms of tracking accuracy, the robust version of the drift-correcting algorithm outperforms the original algorithm, while remaining still extremely fast.