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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2003
IEEE
14 years 11 months ago
Using Multiple Cues for Hand Tracking and Model Refinement
We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem...
Shan Lu, Dimitris N. Metaxas, Dimitris Samaras, Jo...
CVPR
2005
IEEE
14 years 11 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman
ICCV
2007
IEEE
14 years 3 months ago
Automatic Camera Network Localization using Object Image Tracks
Camera networks are being used in more applications as different types of sensor networks are used to instrument large spaces. Here we show a method for localizing the cameras in ...
Marci Meingast, Songhwai Oh, Shankar Sastry
DAGM
2006
Springer
14 years 20 days ago
Robust Non-rigid Object Tracking Using Point Distribution Manifolds
Abstract. We present an approach to non-rigid object tracking designed to handle textured objects in crowded scenes captured by non-static cameras. For this purpose, groups of low-...
Tom Mathes, Justus H. Piater
CVPR
2007
IEEE
14 years 11 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury