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PCM
2010
Springer
239views Multimedia» more  PCM 2010»
13 years 6 months ago
Adaptive Particle Filter Based on Energy Field for Robust Object Tracking in Complex Scenes
Particle filter (PF) based object tracking methods have been widely used in computer vision. However, traditional particle filter trackers cannot effectively distinguish the target...
Xin Sun, Hongxun Yao, Shengping Zhang, Shaohui Liu
AMDO
2008
Springer
13 years 10 months ago
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
Moaath Al-Rajab, David Hogg, Kia Ng
WAPCV
2007
Springer
14 years 2 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
CVPR
2001
IEEE
14 years 10 months ago
Evolving Image Segmentations for the Analysis of Video Sequences
A methodology for the segmentation of successive frames of a video sequence is presented. Traditional methods, treating each frame in isolation, are computationally expensive, ign...
A. A. Clark, Barry T. Thomas
TITS
2008
189views more  TITS 2008»
13 years 8 months ago
Robust Road Modeling and Tracking Using Condensation
In this paper, we present a robust road detection and tracking method based on a condensation particle filter for real-time video-based navigation applications. The image is divide...
Yan Wang, Li Bai, Michael C. Fairhurst