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» Robust Road Modeling and Tracking Using Condensation
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AVBPA
2003
Springer
134views Biometrics» more  AVBPA 2003»
14 years 22 days ago
Robust Face-Tracking Using Skin Color and Facial Shape
This paper proposes a robust face tracking algorithm based on the CONDENSATION algorithm that uses skin color and facial shape as observation measures. Two independent trackers are...
Hyung-Soo Lee, Daijin Kim, Sang-Youn Lee
BMVC
2001
13 years 10 months ago
Simultaneous Tracking of Both Hands by Estimation of Erroneous Observations
The articulate motion of the hand makes it very difficult to track the hands while performing a gesture. Simultaneous tracking of both hands needs to deal with large interframe v...
James P. Mammen, Subhasis Chaudhuri, Tushar Agrawa...
ACIVS
2006
Springer
13 years 11 months ago
Adaptative Road Lanes Detection and Classification
Abstract. This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and identifies the type of lane bou...
Juan Manuel Collado, Cristina Hilario, Arturo de l...
ECCV
2000
Springer
14 years 9 months ago
Quasi-Random Sampling for Condensation
The problem of tracking pedestrians from a moving car is a challenging one. The Condensation tracking algorithm is appealing for its generality and potential for real-time implemen...
Vasanth Philomin, Ramani Duraiswami, Larry S. Davi...
CAIP
2009
Springer
182views Image Analysis» more  CAIP 2009»
14 years 4 days ago
New Lane Model and Distance Transform for Lane Detection and Tracking
Particle filtering of boundary points is a robust way to estimate lanes. This paper introduces a new lane model in correspondence to this particle filterbased approach, which is ...
Ruyi Jiang, Reinhard Klette, Tobi Vaudrey, Shigang...