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» Novel Observation Model for Probabilistic Object Tracking
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PAMI
2002
112views more  PAMI 2002»
13 years 8 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
ICRA
1999
IEEE
155views Robotics» more  ICRA 1999»
14 years 1 months ago
3-D Cueing: A Data Filter for Object Recognition
This paper presents a novel method for quickly filtering range data points to make object recognition in large 3D data sets feasible. The general approach, called "3D cueing,...
Owen T. Carmichael, Martial Hebert
MMSP
2008
IEEE
216views Multimedia» more  MMSP 2008»
14 years 3 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, ...
PCM
2004
Springer
163views Multimedia» more  PCM 2004»
14 years 2 months ago
Sat-Cam: Personal Satellite Virtual Camera
We propose and describe a novel video capturing system called Sat-Cam that can observe and record the users’ activity from effective viewpoints to negate the effects of unstead...
Hansung Kim, Itaru Kitahara, Kiyoshi Kogure, Norih...
ISBI
2007
IEEE
14 years 3 months ago
A Variational Model for Level-set Based Cell Tracking in Time-lapse Fluorescence Microscopy Images
Quantifying the motion and deformation of large numbers of cells through image sequences obtained with fluorescence microscopy is a recurrent task in many biological studies. Aut...
Oleh Dzyubachyk, Wiro J. Niessen, Erik H. W. Meije...