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Modelling Simulation and Performance Analysis for Footwear Manufacturing System

2021 Computer Engineering and Intelligent Systems  
In this paper, we present an algorithm for multiple articulated objects tracking based on monocular RGB image sequence.  ...  Fully automatic tracking of articulated motion in real-time with a monocular RGB camera is a challenging problem which is essential for many virtual reality (VR) and human-computer interaction applications  ...  This problem is challenging for many other reasons such as self-similar parts, each articulated object has many degrees of freedom (DOF), occlusion by other objects, and self-occlusion.  ... 
doi:10.7176/ceis/12-1-01 fatcat:4dtqx5tlonbgzfktipfysakyca

Boundary Fragment Matching and Articulated Pose Under Occlusion [chapter]

Nicholas R. Howe
2006 Lecture Notes in Computer Science  
Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular video so long as the camera's view remains unoccluded by other objects.  ...  The new method operates without human intervention, and experiments demonstrate that it can reconstruct accurate three-dimensional articulated pose tracks from single-camera walking video despite occlusion  ...  Another body of research has examined the problem of non-articulated object tracking under intermittent occlusion [4, 9] .  ... 
doi:10.1007/11789239_28 fatcat:czoaouuysjaavgtiw5d6nthzbi

Model-based hand tracking with texture, shading and self-occlusions

Martin de La Gorce, Nikos Paragios, David J. Fleet
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
A novel model-based approach to 3D hand tracking from monocular video is presented.  ...  The minimization is done efficiently using a quasi-Newton method, for which we propose a rigorous derivation of the objective function gradient.  ...  Monocular hand tracking is even more difficult due to depth ambiguities. Two complementary approaches have been suggested in the literature for monocular hand tracking.  ... 
doi:10.1109/cvpr.2008.4587752 dblp:conf/cvpr/GorcePF08 fatcat:rechyurxrvesdpqhqjymfc5fa4

Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution

Yuanyuan Wu, Xiaohai He, Byeongkeun Kang, Haiying Song, Truong Q. Nguyen
2016 IEEE Signal Processing Letters  
Compared with existing approaches that emphasize temporal consistency of each tracked point, we also consider the spatial structure of tracked points on the articulated human.  ...  Furthermore, we propose an iterative algorithm to efficiently adjust vertices of mesh for a physically plausible deformation, which can meet the local rigidity of mesh and silhouette constraints.  ...  From an alternate point-of-view, N track points are physically belonging to a human undergoing articulated motion.  ... 
doi:10.1109/lsp.2016.2536647 fatcat:uboku5i2nvccxed3bfnubxzuay

GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB [article]

Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt
2017 arXiv   pre-print
We address the highly challenging problem of real-time 3D hand tracking based on a monocular RGB-only sequence.  ...  Our tracking method combines a convolutional neural network with a kinematic 3D hand model, such that it generalizes well to unseen data, is robust to occlusions and varying camera viewpoints, and leads  ...  [12] proposed one of the first generative methods to use monocular RGB-D data for hand tracking, even under partial occlusions.  ... 
arXiv:1712.01057v1 fatcat:7jxgkuoogfbb5itjoq2wbpftpa

Predicting 3D People from 2D Pictures [chapter]

Leonid Sigal, Michael J. Black
2006 Lecture Notes in Computer Science  
We propose a hierarchical process for inferring the 3D pose of a person from monocular images.  ...  We demonstrate the method in a laboratory setting where we evaluate the accuracy of the 3D poses against ground truth data. We also estimate 3D body pose in a monocular image sequence.  ...  To simplify the occlusion reasoning as in [21] , we assume that for a given view there is a fixed and known depth ordering of parts.  ... 
doi:10.1007/11789239_19 fatcat:ilvj2swqffak3a3hyyxt3sqwla

GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB

Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Figure 1 : We present an approach for real-time 3D hand tracking from monocular RGB-only input.  ...  Abstract We address the highly challenging problem of real-time 3D hand tracking based on a monocular RGB-only sequence.  ...  [12] proposed one of the first generative methods to use monocular RGB-D data for hand tracking, even under partial occlusions.  ... 
doi:10.1109/cvpr.2018.00013 dblp:conf/cvpr/MuellerBSM0CT18 fatcat:pw73umrjgjhdzpttehh3uljeu4

Contour Based Superquadric Tracking [chapter]

Jaka Krivic, Franc Solina
2003 Lecture Notes in Computer Science  
This paper proposes a technique for tracking a superquadricmodelled object over a monocular video sequences. The object is currently modelled with a single superquadric.  ...  Object's position and orientation in the first frame of the sequence are assumed known. A frame in a sequence is first processed to find object's contour.  ...  Superquadrics are a common building block for modelling articulated objects [1] .  ... 
doi:10.1007/978-3-540-45226-3_160 fatcat:ytft3l5mdvawflpqlzraqkj5em

Human Pose Tracking Using Multi-level Structured Models [chapter]

Mun Wai Lee, Ram Nevatia
2006 Lecture Notes in Computer Science  
Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the persons' bodies.  ...  At the first stage, humans are tracked as blobs.  ...  Acknowledgment This research was funded, in part, by the Advanced Research and Development Activity of the U.S. Government under contract # MDA-904-03-C-1786.  ... 
doi:10.1007/11744078_29 fatcat:swcdjya6mbeyjaqxu3f625heai

A Summary of the 4th International Workshop on Recovering 6D Object Pose [chapter]

Tomáš Hodaň, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel (+3 others)
2019 Lecture Notes in Computer Science  
This document summarizes the 4th International Workshop on Recovering 6D Object Pose which was organized in conjunction with ECCV 2018 in Munich.  ...  The workshop featured four invited talks, oral and poster presentations of accepted workshop papers, and an introduction of the BOP benchmark for 6D object pose estimation.  ...  the two tracking approaches in [30] (monocular) and [42] (RGB-D).  ... 
doi:10.1007/978-3-030-11009-3_36 fatcat:jx65hxijzberregvht4jey47cq

Monocular real-time 3D articulated hand pose estimation

Javier Romero, Hedvig Kjellstrom, Danica Kragic
2009 2009 9th IEEE-RAS International Conference on Humanoid Robots  
An additional contribution is the modeling of constraints based on temporal consistency in hand pose, without explicitly tracking the hand in the high dimensional pose space.  ...  This paper presents a method for continuous vision based estimation of human hand pose.  ...  ACKNOWLEDGMENTS This project has been supported by the EU IST-FP6-IP PACO-PLUS, EU IST-FP7-IP GRASP and Swedish Foundation for Strategic Research through project CORS.  ... 
doi:10.1109/ichr.2009.5379596 dblp:conf/humanoids/RomeroKK09 fatcat:f62oywjbm5a2hh3pdtdlr3ud5m

3D Human Motion Tracking and Reconstruction Using DCT Matrix Descriptor

Alireza Behrad, Nadia Roodsarabi
2012 ISRN Machine Vision  
In this work, a new method is proposed for tracking and 3D reconstruction of human motion from the image sequence of a monocular static camera.  ...  In this method, 2D tracking is used for 3D reconstruction, which a database of selected frames is used for the correction of tracking process.  ...  Tracking process may lose the tracked joint for several reasons such as occlusion problem or large distortion. Therefore, the tracked joint information may be incorrect in the current frame.  ... 
doi:10.5402/2012/235396 fatcat:uyruoxnt5vcwlln3r2nsrinhjq

Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview [article]

Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He
2022 arXiv   pre-print
detection, category-level monocular object pose detection, and monocular object pose tracking.  ...  In our work, metrics, datasets, and methods of both detection and tracking are presented in detail.  ...  much more efficient and geometrically more reasonable.  ... 
arXiv:2105.14291v2 fatcat:2kxd4owthvf7tbcbnlqlqu4r3m

3D Hand Pose Detection in Egocentric RGB-D Images [chapter]

Grégory Rogez, Maryam Khademi, J. S. Supančič III, J. M. M. Montiel, Deva Ramanan
2015 Lecture Notes in Computer Science  
The problem is exacerbated when considering a wearable sensor and a first-person camera viewpoint: the occlusions inherent to the particular camera view and the limitations in terms of field of view make  ...  We evaluate our approach on a real-world annotated dataset and propose a novel annotation technique for accurate 3D hand labelling even in case of partial occlusions.  ...  Second, this produces occlusions for points in the scene that are not visible in both views.  ... 
doi:10.1007/978-3-319-16178-5_25 fatcat:wloilrcfxrbfbeitmjfr74hna4

Multiple camera tracking of interacting and occluded human motion

S.L. Dockstader, A.M. Tekalp
2001 Proceedings of the IEEE  
We propose a distributed, real-time computing platform for tracking multiple interacting persons in motion.  ...  To combat the negative effects of occlusion and articulated motion we use a multiview implementation, where each view is first independently processed on a dedicated processor.  ...  We would also like to acknowledge Terrance Jones for his assistance and organizational efforts in providing synchronized multiview sequences of multiple people in action.  ... 
doi:10.1109/5.959340 fatcat:4rp6xjgzqrdiths2q27q6wblqu
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