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Fast and robust hand tracking using detection-guided optimization
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Our algorithm uses a novel detection-guided optimization strategy that increases the robustness and speed of pose estimation. ...
In this paper, we present a fast method for accurately tracking rapid and complex articulations of the hand using a single depth camera. ...
Acknowledgments: This research was funded by the ERC Starting Grant projects CapReal (335545) and COM-PUTED (637991), and the Academy of Finland. We would like to thank Christian Richardt. ...
doi:10.1109/cvpr.2015.7298941
dblp:conf/cvpr/0002MOT15
fatcat:2fvmhiodkndnjktuie5f33wzji
Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input
[article]
2016
arXiv
pre-print
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For added robustness, we guide the optimization with discriminative part classification of the hand and segmentation of the object. ...
However, due to difficult occlusions, fast motions, and uniform hand appearance, jointly tracking hand and object pose is more challenging than tracking either of the two separately. ...
To further increase robustness and allow for recovery of the generative tracker, we guide the optimization using a multi-layer random forest hand part classifier. ...
arXiv:1610.04889v1
fatcat:eobmqcu6abc6pjalqy4m3arsze
Real-Time Joint Tracking of a Hand Manipulating an Object from RGB-D Input
[chapter]
2016
Lecture Notes in Computer Science
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For added robustness, we guide the optimization with discriminative part classification of the hand and segmentation of the object. ...
However, due to difficult occlusions, fast motions, and uniform hand appearance, jointly tracking hand and object pose is more challenging than tracking either of the two separately. ...
To further increase robustness and allow for recovery of the generative tracker, we guide the optimization using a multi-layer random forest hand part classifier. ...
doi:10.1007/978-3-319-46475-6_19
fatcat:epro3on5rnhhjovw62to4bbsoq
Embedding Gesture Prior To Joint Shape Optimization Based Real-time 3D Hand Tracking
2020
IEEE Access
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Sridhar et.al [35] optimized the hand pose using a detection guide strategy. They achieved correspondences through a per-pixel random forest classifier. ...
Then, combining the hand initialization, we perform gesture-guided pose/shape optimization that incorporates both data fitting and prior limits to ensure accurate and robust hand tracking. multi-stage ...
doi:10.1109/access.2020.2974551
fatcat:wg3m23fjfzhyxmpwhc6q4bvmei
IOU-Guided Siamese Tracking
2021
Mathematical Problems in Engineering
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and robustness. ...
The traditional target tracking algorithm based on the generative model selects target features manually, which has a simple structure and fast running speed, but it cannot meet the requirements of algorithm ...
In this paper, the IoU-guided score is used as the criterion for bounding box regression and the final optimization goal, and the optimal solution c * is obtained through gradient descent, which solves ...
doi:10.1155/2021/9127092
fatcat:pukjrta6hnhhlbggp6kz52odne
2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29
2019
IEEE transactions on circuits and systems for video technology (Print)
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., +, TCSVT Dec. 2019 3531-3543 Robust Visual Tracking Using Multi-Frame Multi-Feature Joint Modeling. ...
., +, TCSVT Dec. 2019 3531-3543
Robust Visual Tracking Using Multi-Frame Multi-Feature Joint Modeling. ...
doi:10.1109/tcsvt.2019.2959179
fatcat:2bdmsygnonfjnmnvmb72c63tja
Author Index
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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Applications in
Nematode Taxonomy
Liu, Ming-Yu
Fast Directional Chamfer Matching
Demo: A Practical and Robust System for Object Detection and Pose Estimation in Heavy Clutter
using Active Illumination ...
extraction of DAISY keypoints
Girod, Bernd
Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features
Demo: Unified Tracking and Recognition with Rotation-Invariant Fast Features ...
doi:10.1109/cvpr.2010.5539913
fatcat:y6m5knstrzfyfin6jzusc42p54
Front Matter: Volume 9786
2016
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
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using a Base 36 numbering system employing both numerals and letters. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
hand-eye calibration for endoscopy navigation system [9786-60]
9786 1Q
Towards robust specularity detection and inpainting in cardiac images [9786-61]
9786 1R
Real-time mosaicing of fetoscopic videos ...
doi:10.1117/12.2240097
dblp:conf/miigp/X16
fatcat:e2sr443rvfa7rcz24tfpgb44gy
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
[article]
2021
arXiv
pre-print
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Overall, we propose the first light-weight total capture system and achieves fast, robust and accurate multi-person total motion capture performance. ...
scales and fast body movements. ...
Illustration of hand localization and detection. (a) Reconstructed body skeletons using [62] in advance which will guide us to focus on key areas {RoI c k,α } (blue dotted line rectangle). ...
arXiv:2108.10378v1
fatcat:3sqrnawevrcwfozjjyuidlz42u
Visual Object Target Tracking Using Particle Filter: A Survey
2013
International Journal of Image Graphics and Signal Processing
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This paper gives the survey of the existing developments of Visual object target tracking using particle filter from the last decade and discusses the advantage and disadvantages of various particle filters ...
In the making of video surveillance systems -smart‖ requires fast, reliable and robust algorithms for moving object detection, classification, tracking and activity analysis. ...
The proposed method has more computational complexity. 14 Real-time hand tracking using a mean shift embedded particle filter [38] The authors incorporated the mean shift (MS) optimization into particle ...
doi:10.5815/ijigsp.2013.06.08
fatcat:olg4prc5pjghza3pwzi6cigvky
A Motion Adaptable Needle Placement Instrument Based on Tumor Specific Ultrasonic Image Segmentation
[chapter]
2002
Lecture Notes in Computer Science
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In addition, this paper proposed a tumor specific active contour model which can conduct a fast and robust segmentation for tumor, and utilized Hough transform for needle recognition. ...
This paper suggests an ultrasound guided needle insertion instrument which can track target motion in real-time. ...
Acknowledgements This work was supported by the Grant-in-Aid for Scientific Research (B13558103, A14702070) in Japan and NH was supported by Toyota Phsical & Chemical Research Institute, Suzuken Memorial ...
doi:10.1007/3-540-45786-0_16
fatcat:eqkpmejcvfe2fanpkyrjudl3cq
Person Following by Autonomous Robots: A Categorical Overview
[article]
2019
arXiv
pre-print
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Then, some of the prominent methods are qualitatively compared, corresponding practicalities are illustrated, and their feasibility is analyzed for various use-cases. ...
Different working environments and applications pose diverse challenges by adding constraints on the choice of sensors, the degree of autonomy, and dynamics of a person-following robot. ...
The authors are with the Interactive Robotics and Vision Laboratory (IRVLab), University of Minnesota, Twin Cities, MN, USA. ...
arXiv:1803.08202v4
fatcat:wrqjbueulramzknpae3kt45kte
Automatic Guide-Wire Detection for Neurointerventions Using Low-Rank Sparse Matrix Decomposition and Denoising
[chapter]
2015
Lecture Notes in Computer Science
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An evaluation on 651 X-ray images from 5 patient shows that our guide-wire tip detection is precise and within clinical tolerance for guide-wire inter-frame motions as high as 6mm. ...
Instead, we base our approach on motion cues by making use of recent advances in low-rank and sparse matrix decomposition, which we then combine with denoising. ...
Guide-wire tracking and detection methods have focused on the delineation of the tip or the whole guide-wire. ...
doi:10.1007/978-3-319-24601-7_12
fatcat:7zpqnursdbgrhjxxrjq2v3t66i
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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., +, TIP 2020 9445-9457 Siamese Local and Global Networks for Robust Face Tracking. Qi, Y., +, Text Co-Detection in Multi-View Scene. ...
., +, TIP 2020 6561-6573 A Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
Learning Scale-Adaptive Tight Correlation Filter for Object Tracking
2018
IEEE Transactions on Cybernetics
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First, we develop a tight correlation filter-based tracking framework from the signal detection perspective. ...
In this formulation, the correlation filter is set as the same size as the target, which can make full use of the relations of the adjacent image patches and effectively exclude the influence of the background ...
Specifically, the ranking in accuracy of SCFR is higher than that in robustness, which guides us to improve the robustness of SCFR in the future.
G. ...
doi:10.1109/tcyb.2018.2868782
fatcat:k3hgqydynbbrfhbsiknak3ibcu
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