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» Probabilistic Object Tracking Using Multiple Features
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ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
14 years 27 days ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
CLEAR
2006
Springer
116views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Multi-and Single View Multiperson Tracking for Smart Room Environments
Abstract. Simultaneous tracking of multiple persons in real world environments is an active research field and several approaches have been proposed, based on a variety of features...
Keni Bernardin, Tobias Gehrig, Rainer Stiefelhagen
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 5 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...
PCM
2004
Springer
135views Multimedia» more  PCM 2004»
14 years 29 days ago
Probabilistic Face Tracking Using Boosted Multi-view Detector
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
Peihua Li, Haijing Wang
ICPR
2006
IEEE
14 years 8 months ago
Robust Tracking of Multiple People in Crowds Using Laser Range Scanners
Laser based people tracking systems have been developed for mobile robotic or intelligent surveillance areas. Existing systems rely on laser point clustering to extract object loc...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...