A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Variational maximum a posteriori by annealed mean field analysis
2005
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
This paper proposes a novel probabilistic variational method with deterministic annealing for the maximum a posteriori (MAP) estimation of complex stochastic systems. ...
Murphy Fellowship for Gang Hua. ...
ACKNOWLEDGMENTS This work was supported in part by US National Science Foundation Grants IIS-0347877, IIS-0308222, and Northwestern faculty startup funds for Ying Wu and Walter P. ...
doi:10.1109/tpami.2005.229
pmid:16285374
fatcat:4b2oontrmvc4hckvazwbjfkpn4
Integrated Detection and Tracking for Multiple Moving Objects using Data-Driven MCMC Data Association
2008
2008 IEEE Workshop on Motion and video Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
To avoid enumerating all possible joint associations, we take a Data Driven Markov Chain Monte Carlo (DD-MCMC) approach which samples the solution space efficiently. ...
Tracks are generated from these candidates according to the smoothness of motion, appearance and model likelihood overtime. ...
Markov Chain Monte Carlo has been successfully applied in solving the data association problem in many areas, such as structure from motion [11] and multiple object tracking [12, 13] . ...
doi:10.1109/wmvc.2008.4544066
fatcat:kgtf3gj2uzhe7glm2vkc52mlkm
Multiple-Target Tracking by Spatiotemporal Monte Carlo Markov Chain Data Association
2009
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
To avoid enumerating all possible solutions, we take a Data-Driven Markov Chain Monte Carlo (DD-MCMC) approach to sample the solution space efficiently. ...
We propose a framework for tracking multiple targets, where the input is a set of candidate regions in each frame, as obtained from a state-of-the-art background segmentation module, and the goal is to ...
Due to the high computational complexity of such an association scheme, a Data-Driven Markov Chain Monte Carlo (DD-MCMC) [18] method is proposed to sample the solution space. ...
doi:10.1109/tpami.2008.253
pmid:19834141
fatcat:hzedmgfyajgorip4svlm54e43i
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
2009
International Journal of Computer Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
A major challenge in applying Bayesian tracking methods for tracking 3D human body pose is the high dimensionality of the pose state space. ...
The advantages of the proposed model are demonstrated in a multiple hypothesis tracker for tracking 3D human body pose. ...
We use GPLVMPF to refer this tracking algorithm. APF and GPLVMPF are chosen for comparison as both address the issue of sample impoverishment problem for particle filtering in 3D human tracking. ...
doi:10.1007/s11263-009-0283-4
fatcat:vnld2yq6w5ee7eh7ujondzzeiu
Human tracking over camera networks: a review
2017
EURASIP Journal on Advances in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Two important functional modules for the human tracking over camera networks are addressed, including human tracking within a camera and human tracking across nonoverlapping cameras. ...
In recent years, automated human tracking over camera networks is getting essential for video surveillance. ...
The Markov Chain Monte Carlo (MCMC) method, which samples from a probability distribution based on constructing a Markov chain that has the desired distribution as its equilibrium distribution, is well ...
doi:10.1186/s13634-017-0482-z
fatcat:sc6y6mffn5hjzaawmnduamqpz4
Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition
2009
Foundations and Trends® in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
Julian Besag's contributions to the development of spatial interaction models [16, 18] and Monte Carlo Markov chain techniques [17] are seminal. ...
In particular, we illustrate the role of imaging, illumination, and motion constraints in classical vision problems such as tracking, structure from motion, metrology, activity analysis and recognition ...
Bob Gray and Reviewer A for the thorough proofreading, and the painstakingly detailed review. ...
doi:10.1561/2000000007
fatcat:o5hmdnzbqvbdzjdu72jkojl5ya
Vision-Based Hand Gesture Recognition for Human-Computer Interaction
[chapter]
2009
Human Factors and Ergonomics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Carlo tracking technique. ...
Particle filtering Particle filters have been utilized to track the position of hands and the configuration of fingers in dense visual clutter. ...
doi:10.1201/9781420064995-c34
fatcat:ethpj6kys5dpdjihszbkjgqewa
Cyclic articulated human motion tracking by sequential ancestral simulation
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
Such coupling is maintained in tracking through Ancestral Simulation (AS) and Markov potentials in a Sequential Monte Carlo tracking framework. ...
This paper presents a novel technique for tracking cyclic human motion based on decomposing complex cyclic motion into components and maintaining coupling between components. ...
Markov Chain Monte Carlo (MCMC) methods such as Gibbs sampling and Slice sampling [10] may be used to simulate the inference. ...
doi:10.1109/cvpr.2004.1315143
fatcat:aeegogroczggritlsnpa2khbyy
2019 Index IEEE Robotics and Automation Letters Vol. 4
2019
IEEE Robotics and Automation Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., +, LRA April 2019 902-909 Particle filtering (numerical methods) Environment-Aware Multi-Target Tracking of Pedestrians. ...
Kojima, A., +, LRA July 2019 2592-2598
Filtering
HMFP-DBRNN: Real-Time Hand Motion Filtering and Prediction via Deep
Bidirectional RNN. ...
Permanent magnets Adaptive Dynamic Control for Magnetically Actuated Medical Robots. ...
doi:10.1109/lra.2019.2955867
fatcat:ckastwefh5chhamsravandtnx4
Stochastic-Biomechanic Modeling and Recognition of Human Movement Primitives, in Industry, Using Wearables
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This work is based on the hypothesis that with these models, it is possible to forecast workers' posture and identify the joints contributing to the motion, which can later be used for ergonomic risk prevention ...
Euler angles were used for training to avoid forecasting errors such as bone stretching and invalid skeleton configurations, which commonly occur with models trained with joint positions. ...
These models represent the human body as a set of articulated links in a kinetic chain where joint torques and forces are calculated using anthropometric, postural, and hand load data [15] . ...
doi:10.3390/s21072497
pmid:33916681
pmcid:PMC8038416
fatcat:oe5wve26yvhtlep4jxm6qtu7eq
Mathematics of Human Motion: from Animation towards Simulation (A View form the Outside)
[article]
2011
arXiv
pre-print
Preserved Fulltext
The Internet Archive has a preservation copy of this work in our general collections.
The file type is application/pdf.
Simulation of human motion is the subject of study in a number of disciplines: Biomechanics, Robotics, Computer Animation, Control Theory, Neurophysiology, Medicine, Ergonomics. ...
Thus the author hopes that this view from the outside will be of some interest not only for the strangers like himself, but for those who are inside as well. ...
There are two main approaches for human motion analysis: motion analysis involving human body parts and tracking of motion [2] . ...
arXiv:1102.4992v1
fatcat:vf63c7dtqfdsra562sxlb7uh2m
Tutorial Review of Bio-Inspired Approaches to Robotic Manipulation for Space Debris Salvage
2020
Biomimetics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This models human manipulation capabilities as implemented by the cerebellum and muscles/joints respectively. ...
This promises robust and adaptive manipulation for complex tasks in salvaging space debris. ...
Acknowledgments: I would like to thank my PhD student Collins Ogundipe for crafting the uncredited diagrams.
Conflicts of Interest: There are no conflicts of interest. Biomimetics 2020, 5, 19 ...
doi:10.3390/biomimetics5020019
pmid:32408615
pmcid:PMC7345424
fatcat:vjw2nklwunevnn2apee6vkdjx4
On Human Robot Interaction using Multiple Modes
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Humanoid robots have apparently similar body structure like human beings. Due to their technical design, they are sharing the same workspace with humans. ...
All these come under the field of human robot interaction (HRI). There are various modes like speech, gesture, behavior etc. through which human can interact with robots. ...
First part of his work on visual tracking where he focuses on head poses and shoulder moments. For tracking these moments Particle Swarm optimization algorithm is applied. ...
arXiv:1811.07206v1
fatcat:jgzpy36mdvg6xa4ltxfd5pbzou
The Visual System's Internal Model of the World
2015
Proceedings of the IEEE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We will argue for a unified theoretical framework for relating the internal models to the observed neural phenomena and mechanisms in the visual cortex. became a faculty member at Carnegie Mellon University ...
ABSTRACT | The Bayesian paradigm has provided a useful conceptual theory for understanding perceptual computation in the brain. ...
Sampling techniques such as Gibbs sampling and Markov chain Monte Carlo (MCMC) are used to estimate this distribution. ...
doi:10.1109/jproc.2015.2434601
pmid:26566294
pmcid:PMC4638327
fatcat:bun4vapgzvepzigoq2lzbid6ua
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1704.05519v2 fatcat:vg2fezsgyzgptbpbvnwcpw24qyOther Versions
Our survey includes both the historically most relevant literature as well as the current state of the art on several specific topics, including recognition, reconstruction, motion estimation, tracking ...
, scene understanding, and end-to-end learning for autonomous driving. ...
[11] address this problem with a joint detection and articulated human pose tracking formulation. ...
arXiv:1704.05519v3
fatcat:xiintiarqjbfldheeg2hsydyra
« Previous
Showing results 1 — 15 out of 58 results