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» An adaptive-scale robust estimator for motion estimation
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NIPS
2003
13 years 9 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
IROS
2006
IEEE
112views Robotics» more  IROS 2006»
14 years 1 months ago
Pose and Motion from Omnidirectional Optical Flow and a Digital Terrain Map
— An algorithm for pose and motion estimation using corresponding features in omnidirectional images and a digital terrain map is proposed. In previous paper, such algorithm for ...
Ronen Lerner, Oleg Kupervasser, Ehud Rivlin
AVSS
2005
IEEE
14 years 1 months ago
Tracking motion objects in infrared videos
We propose motion detection and object tracking method that is particularly suitable for infrared videos. Detection of moving objects in infrared videos is based on changing textu...
Longin Jan Latecki, Roland Miezianko, Dragoljub Po...
IJRR
2007
218views more  IJRR 2007»
13 years 7 months ago
Real-time Hybrid Tracking using Edge and Texture Information
This paper proposes a real-time, robust and effective tracking framework for visual servoing applications. The algorithm is based on the fusion of visual cues and on the estimatio...
Muriel Pressigout, Éric Marchand
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
14 years 1 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng