This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines...
We present a new contour analysis technique to detect people in thermal imagery. Background-subtraction is first used to identify local regions-of-interest. Gradient information w...
We describe a novel computer vision application: visionbased human sensing for a Smart Kiosk interface. A Smart Kiosk is a free-standing information dispensing computer appliance ...
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
This paper presents a framework to reconstruct a scene captured in multiple camera views based on a prior model of the scene geometry. The framework is applied to the capture of a...