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» Probabilistic Object Tracking Using Multiple Features
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ICCV
2011
IEEE
12 years 9 months ago
An adaptive coupled-layer visual model for robust visual tracking
This paper addresses the problem of tracking objects which undergo rapid and significant appearance changes. We propose a novel coupled-layer visual model that combines the targe...
Luka Cehovin, Matej Kristan, Ales Leonardis
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 7 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
13 years 7 months ago
Multi-camera object detection for robotics
— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...
Adam Coates, Andrew Y. Ng
ENC
2004
IEEE
14 years 26 days ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
DASFAA
2006
IEEE
183views Database» more  DASFAA 2006»
14 years 3 months ago
Probabilistic Similarity Join on Uncertain Data
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...