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» A Filter Object Framework for MICO
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ICIP
2007
IEEE
14 years 9 months ago
Isomap Tracking with Particle Filtering
The problem of tracking involves challenges like in-plane and out-of-plane rotations, scaling, variations in ambient light and occlusions. In this paper we look at the problem of ...
Nikhil Rane, Stanley T. Birchfield
ICCV
2007
IEEE
14 years 9 months ago
Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery
In this paper, we propose a non-stationary stochastic filtering framework for the task of albedo estimation from a single image. There are several approaches in literature for alb...
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
CORR
2012
Springer
230views Education» more  CORR 2012»
12 years 3 months ago
RT-SLAM: A Generic and Real-Time Visual SLAM Implementation
Abstract. This article presents a new open-source C++ implementation to solve the SLAM problem, which is focused on genericity, versatility and high execution speed. It is based on...
Cyril Roussillon, Aurélien Gonzalez, Joan S...

Publication
1301views
14 years 7 months ago
Markovian Tracking-by-Detection from a Single, Uncalibrated Camera
We present an algorithm for multi-person tracking-bydetection in a particle filtering framework. To address the unreliability of current state-of-the-art object detectors, our a...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...