Robust KLT tracking with Gaussian and Laplacian of Gaussian weighting functions
M. Singh, M. Mandal, A. Basu · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004
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. The paper also presents a mechanism for image based optimal weighting function determination.