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ICCV
2009
IEEE
16 years 9 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen
ICPR
2008
IEEE
15 years 11 months ago
Detection of the intersection lines in multiplanar environments: Application to real-time estimation of the camera-scene geometr
This paper describes an integrated system for building a multiplanar model of the scene as the camera is localized on the fly. The core of this system is a robust and accurate pr...
Gilles Simon, Marie-Odile Berger
CGI
1997
IEEE
15 years 8 months ago
Sensor Based Synthetic Actors in a Tennis Game Simulation
In this article we propose a model of a tennis game simulation with synthetic actors as players and a referee. The behavior of these actors is based on their synthetic vision and ...
Hansrudi Noser, Daniel Thalmann
BMVC
1998
15 years 5 months ago
A Novel Approach to Real-time Non-intrusive Gaze Finding
We investigate a holistic approach to real-time gaze tracking by means of a well-defined neural network modelling strategy combined with robust image processing algorithms. Based ...
Li-Qun Xu, Dave Machin, Phil Sheppard
ICCV
2011
IEEE
14 years 4 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic