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» Tracking objects in video using motion and appearance models
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FGR
2006
IEEE
205views Biometrics» more  FGR 2006»
14 years 24 days ago
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
We present a novel tracking algorithm that uses dynamic programming to determine the path of target objects and that is able to track an arbitrary number of different objects. The...
Philippe Dreuw, Thomas Deselaers, David Rybach, Da...
ICRA
2009
IEEE
190views Robotics» more  ICRA 2009»
14 years 1 months ago
Whole body motion primitive segmentation from monocular video
Abstract— This paper proposes a novel approach for motion primitive segmentation from continuous full body human motion captured on monocular video. The proposed approach does no...
Dana Kulic, Dongheui Lee, Yoshihiko Nakamura
ICIP
2002
IEEE
14 years 8 months ago
A predictive contour inertia snake model for general video tracking
In this paper, we present a modified snake model for the problem of general video object tracking. We introduce a new external force into the snake equation based on the predictiv...
Hao Jiang, Mark S. Drew
ICIP
2006
IEEE
14 years 8 months ago
Multispectral Object Segmentation and Retrieval in Surveillance Video
This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information fr...
Ciarán O. Conaire, Noel E. O'Connor, Eddie ...
TSMC
2010
13 years 1 months ago
Adaptive Appearance Model and Condensation Algorithm for Robust Face Tracking
We present an adaptive framework for condensation algorithms in the context of human-face tracking. We attack the face tracking problem by making factored sampling more efficient a...
Yui Man Lui, J. Ross Beveridge, L. Darrell Whitley