17th International Conference on Pattern Recognition (ICPR'04) - Volume 4 Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions Cambridge UK August 23-August 26 ISBN: 0-7695-2128-2
Object tracking algorithms extensively found in literature are either constrained with assumptions or are overly sensitive to noise. We propose and successfully test two new weighting functions for a feature-based object tracker to achieve superior tracking performance and noise immunity. Also presented is a mechanism for image based optimal weighting function determination.
Citation:
Meghna Singh, Mrinal Mandal, Anup Basu, "Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions," icpr, vol. 4, pp.661-664, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||