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Fast and robust hand tracking using detection-guided optimization

Srinath Sridhar, Franziska Mueller, Antti Oulasvirta, Christian Theobalt
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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]

Srinath Sridhar, Franziska Mueller, Michael Zollhöfer, Dan Casas, Antti Oulasvirta, Christian Theobalt
2016 arXiv   pre-print
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]

Srinath Sridhar, Franziska Mueller, Michael Zollhöfer, Dan Casas, Antti Oulasvirta, Christian Theobalt
2016 Lecture Notes in Computer Science  
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

Yunlong Che, Yue Qi
2020 IEEE Access  
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

Jianjun Bao, Haibo Wang, Chen Lv, Ke Luo, Xiaolin Shen, Xiao Chen
2021 Mathematical Problems in Engineering  
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)  
., +, 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  
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  
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]

Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu
2021 arXiv   pre-print
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

G.Mallikarjuna Rao, Ch. Satyanarayana
2013 International Journal of Image Graphics and Signal Processing  
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]

Jae-Sung Hong, Takeyoshi Dohi, Makoto Hasizume, Kozo Konishi, Nobuhiko Hata
2002 Lecture Notes in Computer Science  
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]

Md Jahidul Islam, Jungseok Hong, Junaed Sattar
2019 arXiv   pre-print
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]

Markus Zweng, Pascal Fallavollita, Stefanie Demirci, Markus Kowarschik, Nassir Navab, Diana Mateus
2015 Lecture Notes in Computer Science  
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  
., +, 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

Shunli Zhang, Wei Lu, Weiwei Xing, Li Zhang
2018 IEEE Transactions on Cybernetics  
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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