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» 3D Tracking by Catadioptric Vision Based on Particle Filters
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CVPR
2007
IEEE
14 years 9 months ago
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification
The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
Alex Leykin, Yang Ran, Riad I. Hammoud
JFR
2008
148views more  JFR 2008»
13 years 7 months ago
Terrain-based vehicle orientation estimation combining vision and inertial measurements
A novel method for estimating vehicle roll, pitch and yaw using machine vision and inertial sensors is presented that is based on matching images captured from an on-vehicle camer...
Vishisht Gupta, Sean Brennan
ACCV
2007
Springer
14 years 1 months ago
Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration
This paper presents a novel approach to tracking people in multiple cameras. A target is tracked not only in each camera but also in the ground plane by individual particle filter...
Wei Du, Justus H. Piater
ICPR
2008
IEEE
14 years 8 months ago
A method of small object detection and tracking based on particle filters
In this paper an efficient method of small object localization is proposed that integrates detection and tracking. The system is initialized using a strong detector and then it lo...
Chao Zhang, Joan Llach, Yu Huang
ACCV
2009
Springer
14 years 2 months ago
A Smarter Particle Filter
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
Xiaoqin Zhang, Weiming Hu, Steve J. Maybank