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» People Tracking Using Hybrid Monte Carlo Filtering
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IROS
2008
IEEE
158views Robotics» more  IROS 2008»
14 years 1 months ago
A GPS and laser-based localization for urban and non-urban outdoor environments
— This paper introduces a localization based on GPS and laser measurements for urban and non-urban outdoor environments. In this approach, the GPS pose is Kalman filtered using w...
Matthias Hentschel, Oliver Wulf, Bernardo Wagner
FGR
2006
IEEE
263views Biometrics» more  FGR 2006»
14 years 1 months ago
Robust Head Tracking Based on a Multi-State Particle Filter
This paper proposes a novel method for robust and automatic realtime head tracking by fusing face and head cues within a multi-state particle filter. Due to large appearance vari...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
ICPR
2006
IEEE
14 years 8 months ago
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera
In this paper, we propose a method for human tracking using 3D human body model in a video sequence with a monocular moving camera. Tracking a human with unconstrained movement in...
Sungmin Kim, Chang-Beom Park, Seong-Whan Lee
CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 7 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
ICASSP
2011
IEEE
12 years 11 months ago
Simultaneous object tracking and depth estimation using color shifting property of a multiple color-filter aperture camera
A multiple color-filter aperture (MCA) camera can provide depth information as well as color and intensity in the single-camera framework, where the MCA generates misalignment bet...
Seungwon Lee, Jinhee Lee, Joon Ki Paik