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» Object Tracking by Adaptive Modeling
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101
Voted
CVPR
1999
IEEE
16 years 4 months ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm
NIPS
1997
15 years 3 months ago
A Neural Network Based Head Tracking System
We have constructed an inexpensive, video-based, motorized tracking system that learns to track a head. It uses real time graphical user inputs or an auxiliary infrared detector a...
Daniel D. Lee, H. Sebastian Seung
ICCV
1995
IEEE
15 years 6 months ago
Closed-World Tracking
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
Stephen S. Intille, Aaron F. Bobick
131
Voted
ICPR
2008
IEEE
16 years 3 months ago
Visual planes-based simultaneous localization and model refinement for augmented reality
This paper presents a method for camera pose tracking that uses a partial knowledge about the scene. The method is based on monocular vision Simultaneous Localization And Mapping ...
Éric Marchand, Fabien Servant, Isabelle Mar...
MMSP
2008
IEEE
216views Multimedia» more  MMSP 2008»
15 years 8 months ago
Using stochastic gradient-descent scheme in appearance model based face tracking
— Active appearance model (AAM) has been widely used in face tracking and recognition. However, accuracy and efficiency are always two main challenges with the AAM search. The pa...
Zhidong Li, Jing Chen, Adrian Chong, Zhenghua Yu, ...