22.4.2.5 Egocentric, Wearable Camera Hand Tracking

Chapter Contents (Back)
Egocentric. Tracking. Hand Tracking. Motion.
See also Gesture Systems, Mobile Devices, Phones.
See also Egocentric Human Action Recognition, First Person, Wearable Monitoring.

Zhu, C., Sheng, W.,
Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living,
SMC-A(41), No. 3, May 2011, pp. 569-573.
IEEE DOI 1104
BibRef

Jiang, H., Duerstock, B.S., Wachs, J.P.,
User-Centered and Analytic-Based Approaches to Generate Usable Gestures for Individuals With Quadriplegia,
HMS(46), No. 3, June 2016, pp. 460-466.
IEEE DOI 1605
Feature extraction BibRef

Betancourt, A.[Alejandro], Morerio, P.[Pietro], Barakova, E.[Emilia], Marcenaro, L.[Lucio], Rauterberg, M.[Matthias], Regazzoni, C.[Carlo],
Left/right hand segmentation in egocentric videos,
CVIU(154), No. 1, 2017, pp. 73-81.
Elsevier DOI 1612
Hand-segmentation BibRef

Jang, Y., Jeon, I., Kim, T.K., Woo, W.,
Metaphoric Hand Gestures for Orientation-Aware VR Object Manipulation With an Egocentric Viewpoint,
HMS(47), No. 1, February 2017, pp. 113-127.
IEEE DOI 1702
cameras BibRef

Xu, C.[Chi], Govindarajan, L.N.[Lakshmi Narasimhan], Cheng, L.[Li],
Hand action detection from ego-centric depth sequences with error-correcting Hough transform,
PR(72), No. 1, 2017, pp. 494-503.
Elsevier DOI 1708
Depth, camera BibRef

Varini, P.[Patrizia], Serra, G.[Giuseppe], Cucchiara, R.[Rita],
Personalized Egocentric Video Summarization of Cultural Tour on User Preferences Input,
MultMed(19), No. 12, December 2017, pp. 2832-2845.
IEEE DOI 1712
BibRef
Earlier:
Egocentric Video Personalization in Cultural Experiences Scenarios,
CIAP15(I:694-704).
Springer DOI 1511
Art, Cultural differences, Geology, Object recognition, Semantics, Streaming media, Visualization, knowledge discovery BibRef

Ren, Y., Xie, X., Li, G., Wang, Z.,
A Scan-Line Forest Growing-Based Hand Segmentation Framework With Multipriority Vertex Stereo Matching for Wearable Devices,
Cyber(48), No. 2, February 2018, pp. 556-570.
IEEE DOI 1801
Computational modeling, Image color analysis, Image edge detection, Image segmentation, Optimization, BibRef

Ren, Y., Xie, X., Li, G., Wang, Z.,
Hand Gesture Recognition With Multiscale Weighted Histogram of Contour Direction Normalization for Wearable Applications,
CirSysVideo(28), No. 2, February 2018, pp. 364-377.
IEEE DOI 1802
Gesture recognition, Histograms, Image segmentation, Performance evaluation, Shape, Thumb, Feature normalization, wearable devices BibRef

Zhang, Y.F.[Yi-Fan], Cao, C.Q.[Cong-Qi], Cheng, J.[Jian], Lu, H.Q.[Han-Qing],
EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition,
MultMed(20), No. 5, May 2018, pp. 1038-1050.
IEEE DOI 1805
Benchmark testing, Cameras, Gesture recognition, Neural networks, Performance evaluation, Task analysis, gesture recognition BibRef

Zhang, Y.F.[Yi-Fan], Shi, L.[Lei], Wu, Y.[Yi], Cheng, K.[Ke], Cheng, J.[Jian], Lu, H.Q.[Han-Qing],
Gesture Recognition Based on Deep Deformable 3D Convolutional Neural Networks,
PR(107), 2020, pp. 107416.
Elsevier DOI 2008
Gesture recognition, Spatiotemporal deformable convolution, Spatiotemporal convolutional neural network
See also Skeleton-Based Action Recognition With Gated Convolutional Neural Networks. BibRef

Cao, C.Q.[Cong-Qi], Zhang, Y.F.[Yi-Fan], Wu, Y.[Yi], Lu, H.Q.[Han-Qing], Cheng, J.[Jian],
Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules,
ICCV17(3783-3791)
IEEE DOI 1802
cameras, feature extraction, gesture recognition, image motion analysis, learning (artificial intelligence), Videos
See also Skeleton-Based Action Recognition With Gated Convolutional Neural Networks. BibRef

Shi, L.[Lei], Zhang, Y.F.[Yi-Fan], Hu, J.[Jing], Cheng, J.[Jian], Lu, H.Q.[Han-Qing],
Gesture Recognition Using Spatiotemporal Deformable Convolutional Representation,
ICIP19(1900-1904)
IEEE DOI 1910
Gesture recognition, 3D CNNs BibRef

Alam, M.M.[Mohammad Mahmudul], Islam, M.T.[Mohammad Tariqul], Rahman, S.M.M.[S.M. Mahbubur],
Unified learning approach for egocentric hand gesture recognition and fingertip detection,
PR(121), 2022, pp. 108200.
Elsevier DOI 2109
Convolutional neural network, Fingertip detection, Gesture recognition, Human-computer interaction, Unified detection BibRef


Bao, W.T.[Wen-Tao], Chen, L.[Lele], Zeng, L.[Libing], Li, Z.[Zhong], Xu, Y.[Yi], Yuan, J.S.[Jun-Song], Kong, Y.[Yu],
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting,
ICCV23(13656-13665)
IEEE DOI Code:
WWW Link. 2401
BibRef

Tse, T.H.E.[Tze Ho Elden], Mueller, F.[Franziska], Shen, Z.Y.[Zheng-Yang], Tang, D.H.[Dan-Hang], Beeler, T.[Thabo], Dou, M.S.[Ming-Song], Zhang, Y.[Yinda], Petrovic, S.[Sasa], Chang, H.J.[Hyung Jin], Taylor, J.[Jonathan], Doosti, B.[Bardia],
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images,
ICCV23(14620-14631)
IEEE DOI 2401
BibRef

Jia, W.Q.[Wen-Qi], Liu, M.[Miao], Rehg, J.M.[James M.],
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video,
ECCV22(XIII:639-656).
Springer DOI 2211
BibRef

Liu, S.W.[Shao-Wei], Tripathi, S.[Subarna], Majumdar, S.[Somdeb], Wang, X.L.[Xiao-Long],
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos,
CVPR22(3272-3282)
IEEE DOI 2210
Visualization, Uncertainty, Training data, Stochastic processes, Predictive models, Transformers, Probabilistic logic, Behavior analysis BibRef

Voillemin, T.[Théo], Wannous, H.[Hazem], Vandeborre, J.P.[Jean-Philippe],
FirstPiano: A New Egocentric Hand Action Dataset Oriented Towards Augmented Reality Applications,
CIAP22(III:170-181).
Springer DOI 2205
BibRef

Wang, Z., She, Q., Chalasani, T., Smolic, A.,
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition,
CLVision20(935-944)
IEEE DOI 2008
Videos, Task analysis, Computer architecture, Training, Spatiotemporal phenomena, Gesture recognition BibRef

Chalasani, T., Smolic, A.,
Simultaneous Segmentation and Recognition: Towards More Accurate Ego Gesture Recognition,
EPIC19(4367-4375)
IEEE DOI 2004
gesture recognition, image colour analysis, image segmentation, image sequences, neural nets, object recognition, EgoVision BibRef

Kapidis, G., Poppe, R., van Dam, E., Noldus, L., Veltkamp, R.,
Multitask Learning to Improve Egocentric Action Recognition,
EPIC19(4396-4405)
IEEE DOI 2004
image colour analysis, image motion analysis, image segmentation, learning (artificial intelligence), neural nets, pose estimation, hand detection BibRef

Garcia-Hernando, G., Yuan, S., Baek, S., Kim, T.,
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations,
CVPR18(409-419)
IEEE DOI 1812
Videos, Benchmark testing, Magnetic sensors, Image color analysis, Solid modeling BibRef

Maurya, J., Hebbalaguppe, R., Gupta, P.,
Real Time Hand Segmentation on Frugal Headmounted Device for Gestural Interface,
ICIP18(4023-4027)
IEEE DOI 1809
Image edge detection, Image segmentation, Google, Skin, Real-time systems, Cameras, Image color analysis, Hand Segmentation BibRef

Zhao, Y., Luo, Z., Quan, C.,
Unsupervised Online Learning for Fine-Grained Hand Segmentation in Egocentric Video,
CRV17(248-255)
IEEE DOI 1804
feature extraction, gesture recognition, human computer interaction, image classification, unsupervised online learning BibRef

Mueller, F., Mehta, D., Sotnychenko, O., Sridhar, S., Casas, D., Theobalt, C.,
Real-Time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor,
ICCV17(1163-1172)
IEEE DOI 1802
BibRef
And: MADO17(1284-1293)
IEEE DOI 1802
Cameras, Clutter, Joints, Kinematics, Real-time systems, Tracking augmented reality, gesture recognition, image colour analysis, image motion analysis, image segmentation, Tracking BibRef

Huang, S.[Shao], Wang, W.Q.[Wei-Qiang], Lu, K.[Ke],
Egocentric hand detection via region growth,
ICPR16(639-644)
IEEE DOI 1705
Cameras, Color, Feature extraction, Histograms, Probes, Skin, Videos BibRef

Huang, Y., Liu, X., Zhang, X., Jin, L.,
A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application,
Egocentric-C16(370-377)
IEEE DOI 1612
BibRef

Zhu, X., Liu, W., Jia, X., Wong, K.Y.K.,
A two-stage detector for hand detection in ego-centric videos,
WACV16(1-8)
IEEE DOI 1606
Detectors; Heating; Proposals; Shape; Training; Videos; Wrist BibRef

Ishihara, T.[Tatsuya], Kitani, K.M.[Kris M.], Ma, W.C.[Wei-Chiu], Takagi, H.[Hironobu], Asahawa, C.[Chieko],
Recognizing hand-object interactions in wearable camera videos,
ICIP15(1349-1353)
IEEE DOI 1512
Wearable cameras; activity recognition; first-person point-of-view BibRef

Gunther, T., Franke, I.S., Groh, R.,
Aughanded Virtuality: The hands in the virtual environment,
3DUI15(157-158)
IEEE DOI 1511
augmented reality BibRef

Betancourt, A.[Alejandro], Marcenaro, L.[Lucio], Barakova, E.I.[Emilia I.], Rauterberg, M.[Matthias], Regazzoni, C.S.[Carlo S.],
GPU Accelerated Left/Right Hand-Segmentation in First Person Vision,
Egocentric16(I: 504-517).
Springer DOI 1611
BibRef

Betancourt, A.[Alejandro], Morerio, P.[Pietro], Barakova, E.I.[Emilia I.], Marcenaro, L.[Lucio], Rauterberg, M.[Matthias], Regazzoni, C.S.[Carlo S.],
A Dynamic Approach and a New Dataset for Hand-detection in First Person Vision,
CAIP15(I:274-287).
Springer DOI 1511
BibRef

Wan, S.H.[Shao-Hua], Aggarwal, J.K.,
Mining discriminative states of hands and objects to recognize egocentric actions with a wearable RGBD camera,
Hands15(36-43)
IEEE DOI 1510
Cameras BibRef

Kumar, J.[Jayant], Li, Q.[Qun], Kyal, S.[Survi], Bernal, E.A.[Edgar A.], Bala, R.[Raja],
On-the-fly hand detection training with application in egocentric action recognition,
Hands15(18-27)
IEEE DOI 1510
Accuracy BibRef

Murasaki, K.[Kazuhiko], Yonemoto, H.[Haruka], Sudo, K.[Kyoko], Kinebuchi, T.,
Domain adaptation of articulated pose estimation via synthetic pose prior,
MVA17(137-140)
DOI Link 1708
Cameras, Joints, Pose estimation, Training, Training, data BibRef

Yonemoto, H.[Haruka], Murasaki, K.[Kazuhiko], Osawa, T.[Tatsuya], Sudo, K.[Kyoko], Shimamura, J.[Jun], Taniguchi, Y.[Yukinobu],
Egocentric articulated pose tracking for action recognition,
MVA15(98-101)
IEEE DOI 1507
Cameras BibRef

Betancourt, A.[Alejandro],
A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision,
Egocentric14(600-605)
IEEE DOI 1409
Classifier; Egocentric Vision; First Person Vision; Hand Detection BibRef

Bambach, S.[Sven], Lee, S.[Stefan], Crandall, D.J.[David J.], Yu, C.[Chen],
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions,
ICCV15(1949-1957)
IEEE DOI 1602
Cameras BibRef

Lee, S.[Stefan], Bambach, S.[Sven], Crandall, D.J.[David J.], Franchak, J.M.[John M.], Yu, C.[Chen],
This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video,
Egocentric14(557-564)
IEEE DOI 1409
BibRef

Li, C.[Cheng], Kitani, K.M.[Kris M.],
Model Recommendation with Virtual Probes for Egocentric Hand Detection,
ICCV13(2624-2631)
IEEE DOI 1403
BibRef
And:
Pixel-Level Hand Detection in Ego-centric Videos,
CVPR13(3570-3577)
IEEE DOI 1309
First-person Vision; hand detection BibRef

Havlena, M.[Michal], Ess, A.[Andreas], Moreau, W.[Wim], Torii, A.[Akihiko], Jancosek, M.[Michal], Pajdla, T.[Tomas], Van Gool, L.J.[Luc J.],
AWEAR 2.0 system: Omni-directional audio-visual data acquisition and processing,
Egocentric09(49-56).
IEEE DOI 0906
BibRef

Sun, L.[Li], Klank, U.[Ulrich], Beetz, M.[Michael],
EYEWATCHME: 3D Hand and object tracking for inside out activity analysis,
Egocentric09(9-16).
IEEE DOI 0906
BibRef

Sasaki, H., Kuroda, T., Manabe, Y., Chihara, K.,
Hand-Area Extraction by Sensor Fusion using Two Cameras for Input Interface of Wearable Computers,
SCIA01(P-W5). 0206
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Arm Tracking, Arm Pose for Gestures .


Last update:Mar 16, 2024 at 20:36:19