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» K-means Tracker: A General Algorithm for Tracking People
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ICIP
2007
IEEE
14 years 9 months ago
Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro
CLEAR
2006
Springer
199views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Head Pose Tracking and Focus of Attention Recognition Algorithms in Meeting Rooms
Abstract. The paper presents an evaluation of both head pose and visual focus of attention (VFOA) estimation algorithms in a meeting room environment. Head orientation is estimated...
Sileye O. Ba, Jean-Marc Odobez
ICASSP
2007
IEEE
14 years 1 months ago
Particle PHD Filtering for Multi-Target Visual Tracking
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
Emilio Maggio, Elisa Piccardo, Carlo S. Regazzoni,...
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
14 years 1 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
CVPR
2007
IEEE
14 years 9 months ago
Physics-Based Person Tracking Using Simplified Lower-Body Dynamics
We introduce a physics-based model for 3D person tracking. Based on a biomechanical characterization of lower-body dynamics, the model captures important physical properties of bi...
Marcus A. Brubaker, David J. Fleet, Aaron Hertzman...