This work addresses the important problem of the discovery
and analysis of social networks from surveillance video.
A computer vision approach to this problem is made possible
b...
Ting Yu, Ser Nam Lim, Kedar A. Patwardhan, Nils Kr...
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...
Recent work has shown that, despite the minimal information provided by a binary proximity sensor, a network of such sensors can provide remarkably good target tracking performanc...
Multiple hypothesis tracking (MHT) is a preferred technique for solving the data association problem in modern multiple target tracking systems. However in bioimaging applications...
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe...
In this paper, we propose TROY, the first track router with yield-driven wire planning to optimize yield loss due to random defects. As the probability of failure (POF) computed f...