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» A Probabilistic Background Model for Tracking
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ICIP
2009
IEEE
14 years 7 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
103
Voted
IROS
2006
IEEE
145views Robotics» more  IROS 2006»
15 years 3 months ago
Panoramic Vision and Laser Range Finder Fusion for Multiple Person Tracking
– This paper describes a fusion of panoramic vision and laser range data to track multiple persons simultaneously from a stationary robot. Particle filters are used to track peop...
Punarjay Chakravarty, Ray Jarvis
IJCV
2000
161views more  IJCV 2000»
14 years 9 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
ICASSP
2011
IEEE
14 years 1 months ago
Efficient implementation of probabilistic multi-pitch tracking
We significantly improve the computational efficiency of a probabilistic approach for multiple pitch tracking. This method is based on a factorial hidden Markov model and two al...
Michael Wohlmayr, Robert Peharz, Franz Pernkopf
76
Voted
IROS
2006
IEEE
122views Robotics» more  IROS 2006»
15 years 3 months ago
Team-Driven Multi-Model Motion Tracking with Communication
— Interactions are frequently seen between the robot and the targets being tracked within the robotics community. Modeling the interactions using knowledge of robot cognition imp...
Yang Gu, Manuela M. Veloso