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» Compositional Object Recognition, Segmentation, and Tracking...
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AMDO
2008
Springer
15 years 1 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
CVPR
2005
IEEE
16 years 1 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
ICMCS
1999
IEEE
155views Multimedia» more  ICMCS 1999»
15 years 4 months ago
Real-Time Composition of Stereo Images for Video See-Through Augmented Reality
This paper describes a method of stereo image composition for video see-through augmented reality. In order to implement an augmented reality system, we must acquire the position ...
Masayuki Kanbara, Takashi Okuma, Haruo Takemura, N...
IJCAI
2007
15 years 1 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...
ICIP
2009
IEEE
16 years 24 days ago
Semantic Labeling Of Track Events Using Time Series Segmentation And Shape Analysis
This paper presents a novel framework for applying semantic labels to events within a track. A track is a two-dimensional (2D) or a three-dimensional (3D) signal in time where eac...