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ICCV
2007
IEEE
15 years 8 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
SIBGRAPI
2007
IEEE
15 years 8 months ago
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, ...
Wesley Nunes Gonçalves, João Bosco O...
124
Voted
MVA
2007
162views Computer Vision» more  MVA 2007»
15 years 1 months ago
Location-Based Tracking of Moving Obstacles from a Mobile Robot
Tracking moving obstacles from a moving platform is a useful skill for the coming generation of mobile robot. The methods used in existing moving objects tracking that operated fr...
Thatsaphan Suwannathat, Jun-ichi Imai, Masahide Ka...
CVIU
2006
176views more  CVIU 2006»
15 years 2 months ago
Temporal motion models for monocular and multiview 3D human body tracking
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
Raquel Urtasun, David J. Fleet, Pascal Fua
FGR
2002
IEEE
193views Biometrics» more  FGR 2002»
15 years 7 months ago
Face Recognition from Video: A CONDENSATION Approach
The aim of this work is to investigate how to exploit the temporal information in a video sequence for the task of face recognition. Following the approach in [11], we propose a p...
Shaohua Kevin Zhou, Volker Krüger, Rama Chell...