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ICCV
2005
IEEE
14 years 9 months ago
Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model
This paper breaks with the common practice of using a joint state space representation and performing the joint data association in multi-object tracking. Instead, we present an i...
Dan Schonfeld, Magdi A. Mohamed, Wei Qu
ICCV
2003
IEEE
14 years 9 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICIP
2006
IEEE
14 years 9 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ISBI
2008
IEEE
14 years 8 months ago
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...

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 ...