We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Computational database technology spans the two research fields data-base technology and scientific computing. It involves development of database capabilities that support compu...
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
In this paper we propose a novel method of applying motion estimation techniques to human authentication by iris matching. By exploiting the inherent differences in vector fields ...