22.4.1.13 Human Posture, Upper Body Posture, Arms

Lee, M.W.[Mun Wai], Cohen, I.[Isaac],
A Model-Based Approach for Estimating Human 3D Poses in Static Images,
PAMI(28), No. 6, June 2006, pp. 905-916.
IEEE DOI 0605
BibRef
Earlier:
Proposal maps driven MCMC for estimating human body pose in static images,
CVPR04(II: 334-341).
IEEE DOI 0408
BibRef
And:
Human Upper Body Pose Estimation in Static Images,
ECCV04(Vol II: 126-138).
Springer DOI 0405
BibRef
Earlier:
Human body tracking with auxiliary measurements,
AMFG03(112-119).
IEEE DOI 0311
BibRef

Cohen, I.[Isaac], Lee, M.W.[Mun Wai],
3D Body Reconstruction for Immersive Interaction,
AMDO02(119 ff).
Springer DOI 0303
BibRef

Lee, M.W.[Mun Wai], Nevatia, R.[Ramakant],
Human Pose Tracking in Monocular Sequence Using Multilevel Structured Models,
PAMI(31), No. 1, January 2009, pp. 27-38.
IEEE DOI 0812
BibRef
Earlier:
Body Part Detection for Human Pose Estimation and Tracking,
Motion07(23-23).
IEEE DOI 0702
BibRef
Earlier:
Human Pose Tracking Using Multi-level Structured Models,
ECCV06(III: 368-381).
Springer DOI 0608
BibRef
Earlier:
Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach,
Motion05(II: 168-175).
IEEE DOI 0502
BibRef
And:
Integrating component cues for human pose tracking,
PETS05(41-48).
IEEE DOI
PDF File. 0602

See also Action recognition in cluttered dynamic scenes using Pose-Specific Part Models. BibRef

Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Monocular Human Pose Tracking Using Multi Frame Part Dynamics,
WMVC09(1-8).
IEEE DOI 0912

See also Action recognition in cluttered dynamic scenes using Pose-Specific Part Models. BibRef

Lee, M.W.[Mun Wai], Cohen, I., Jung, S.K.[Soon Ki],
Particle filter with analytical inference for human body tracking,
Motion02(159-165).
IEEE DOI 0303
BibRef

Chu, C.W.[Chi-Wei], Cohen, I.[Isaac],
Posture and Gesture Recognition using 3D Body Shapes Decomposition,
VHCI05(III: 69-69).
IEEE DOI 0507
BibRef

Cohen, I., Li, H.X.[Hong-Xia],
Inference of human postures by classification of 3D human body shape,
AMFG03(74-81).
IEEE DOI 0311
BibRef

Hu, Z.L.[Zhi-Lan], Wang, G.J.[Gui-Jin], Lin, X.G.[Xing-Gang], Yan, H.[Hong],
Recovery of upper body poses in static images based on joints detection,
PRL(30), No. 5, 1 April 2009, pp. 503-512.
Elsevier DOI 0903
Pose estimation; Markov chain Monte Carlo; Torso detection; Gaussian mixture model BibRef

Xu, R.Y.D.[Richard Yi Da], Kemp, M.[Michael],
An iterative approach for fitting multiple connected ellipse structure to silhouette,
PRL(31), No. 13, 1 October 2010, pp. 1860-1867.
Elsevier DOI 1003
BibRef
Earlier:
Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning,
ICIP09(2577-2580).
IEEE DOI 0911
Multiple connected ellipse fitting; Iterative Closest Point; Contour fitting BibRef

Kemp, M.[Michael], Xu, R.Y.D.[Richard Yi Da],
Geometrically-constrained balloon fitting for multiple connected ellipses,
PR(48), No. 7, 2015, pp. 2198-2208.
Elsevier DOI 1504
Ellipse fitting BibRef

Ukita, N.[Norimichi], Makino, A.[Akira], Kidode, M.[Masatsugu],
Real-Time Uncharacteristic-Part Tracking with a Point Set,
IEICE(E93-D), No. 7, July 2010, pp. 1682-1689.
WWW Link. 1008
BibRef
Earlier:
Real-Time Uncharacteristic-Part Tracking Based on Points Tracking,
MVA09(38-).
PDF File. 0905
Track a region next to similar regions. (Upper arm and forearm). BibRef

Hirai, M.[Michiro], Ukita, N.[Norimichi], Kidode, M.[Masatsugu],
Real-Time Pose Regression with Fast Volume Descriptor Computation,
ICPR10(1852-1855).
IEEE DOI 1008
BibRef

Ukita, N.[Norimichi], Hirai, M.[Michiro], Kidode, M.[Masatsugu],
Complex Volume and Pose Tracking with Probabilistic Dynamical Models and Visual Hull Constraints,
ICCV09(1405-1412).
IEEE DOI
PDF File. 0909
BibRef

Ukita, N.[Norimichi], Tsuji, R.[Ryosuke], Kidode, M.[Masatsugu],
Real-Time Shape Analysis of a Human Body in Clothing Using Time-Series Part-Labeled Volumes,
ECCV08(III: 681-695).
Springer DOI 0810
BibRef

Eichner, M., Marin-Jimenez, M.[Manuel], Zisserman, A.[Andrew], Ferrari, V.[Vittorio],
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images,
IJCV(99), No. 2, September 2012, pp. 190-214.
WWW Link. 1205
head, torso and arms BibRef

Ferrari, V.[Vittorio], Marin-Jimenez, M.[Manuel], Zisserman, A.[Andrew],
Pose search: Retrieving people using their pose,
CVPR09(1-8).
IEEE DOI 0906
BibRef
Earlier:
Progressive search space reduction for human pose estimation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Eichner, M.[Marcin], Ferrari, V.[Vittorio],
Human Pose Co-Estimation and Applications,
PAMI(34), No. 11, November 2012, pp. 2282-2288.
IEEE DOI 1209
BibRef
And:
Appearance Sharing for Collective Human Pose Estimation,
ACCV12(I:138-151).
Springer DOI 1304
BibRef
Earlier:
We Are Family: Joint Pose Estimation of Multiple Persons,
ECCV10(I: 228-242).
Springer DOI 1009
Multiple people taken together for pose. In common pose. Group doing same activity. Poses not exact, but all similar to prototype. Also useful for learning pose descriptions. BibRef

Zhang, Z.Q., Ji, L.Y., Huang, Z.P., Wu, J.K.,
Adaptive Information Fusion for Human Upper Limb Movement Estimation,
SMC-A(42), No. 5, September 2012, pp. 1100-1108.
IEEE DOI 1208
BibRef

Zhou, H., Hu, H., Liu, H., Tang, J.,
Classification of Upper Limb Motion Trajectories Using Shape Features,
SMC-C(42), No. 6, November 2012, pp. 970-982.
IEEE DOI 1210
BibRef

Clapés, A.[Albert], Reyes, M.[Miguel], Escalera, S.[Sergio],
Multi-modal user identification and object recognition surveillance system,
PRL(34), No. 7, 1 May 2013, pp. 799-808.
Elsevier DOI 1303
BibRef
Earlier:
User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis,
AMDO12(1-11).
Springer DOI 1208
Multi-modal RGB-Depth data analysis; User identification; Object recognition; Intelligent surveillance; Visual features; Statistical learning BibRef

Tong, R., Xie, D., Tang, M.,
Upper Body Human Detection and Segmentation in Low Contrast Video,
CirSysVideo(23), No. 9, 2013, pp. 1502-1509.
IEEE DOI 1309
Feature extraction BibRef

Chen, J.X.[Ji-Xu], Nie, S.Q.[Si-Qi], Ji, Q.A.[Qi-Ang],
Data-Free Prior Model for Upper Body Pose Estimation and Tracking,
IP(22), No. 12, 2013, pp. 4627-4639.
IEEE DOI 1312
BibRef
Earlier: A1, A3, Only:
Efficient 3D Upper Body Tracking with Self-Occlusions,
ICPR10(3636-3639).
IEEE DOI 1008
image motion analysis
See also Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding, A. BibRef

Duffner, S.[Stefan], Odobez, J.M.[Jean-Marc],
Leveraging colour segmentation for upper-body detection,
PR(47), No. 6, 2014, pp. 2222-2230.
Elsevier DOI 1403
Detection BibRef

Ardiyanto, I., Miura, J.,
Partial least squares-based human upper body orientation estimation with combined detection and tracking,
IVC(32), No. 11, 2014, pp. 904-915.
Elsevier DOI 1410
Human upper body orientation BibRef

Das, L.[Layatitdev], Mahapatra, S.S.,
Prediction of inverse kinematics of a 5-DOF pioneer robotic arm having 6-DOF end-effector using ANFIS,
IJCVR(5), No. 4, 2015, pp. 365-384.
DOI Link 1511
BibRef

Ikeuchi, K.[Katsushi], Ma, Z.Y.[Zhao-Yuan], Yan, Z.Q.A.[Zeng-Qi-Ang], Kudoh, S.[Shunsuke], Nakamura, M.[Minako],
Describing Upper-Body Motions Based on Labanotation for Learning-from-Observation Robots,
IJCV(126), No. 12, December 2018, pp. 1415-1429.
Springer DOI 1811
BibRef

Ding, Z.W.[Ze-Wei], Li, W.Q.[Wan-Qing], Ogunbona, P.[Philip], Qin, L.[Ling],
A real-time webcam-based method for assessing upper-body postures,
MVA(30), No. 5, July 2019, pp. 833-850.
Springer DOI 1907
BibRef

Yang, B.[Bailin], Zhang, Y.L.[Yu-Long], Liu, Z.G.[Zhen-Guang], Jiang, X.H.[Xiao-Heng], Xu, M.L.[Ming-Liang],
Handwriting posture prediction based on unsupervised model,
PR(100), 2020, pp. 107093.
Elsevier DOI 2005
Pupils, Writing posture prediction, Features extracting, Neural network model, Unsupervised learning, Data analysis BibRef

Chang, M.C.[Ming-Ching], Ke, L.P.[Li-Peng], Qi, H.G.[Hong-Gang], Wen, L.Y.[Long-Yin], Lyu, S.W.[Si-Wei],
Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions,
Cyber(51), No. 1, January 2021, pp. 2-15.
IEEE DOI 2012
Pose estimation, Streaming media, Bayes methods, Correlation, Cybernetics, Elbow, Bayes method, pose estimation, video surveillance BibRef

Wang, S.[Sijia], Jiang, K.[Kun], Chen, J.J.[Jun-Jie], Yang, M.M.[Meng-Meng], Fu, Z.[Zheng], Yang, D.[Diange],
Simple But Effective: Upper-Body Geometric Features for Traffic Command Gesture Recognition,
HMS(52), No. 3, June 2022, pp. 423-434.
IEEE DOI 2205
Skeleton, Gesture recognition, Feature extraction, Computational modeling, Videos, Solid modeling, Law enforcement, traffic command gesture recognition BibRef

Yoon, J.S.[Jae Shin], Yu, Z.X.[Zhi-Xuan], Park, J.[Jaesik], Park, H.S.[Hyun Soo],
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge,
PAMI(45), No. 1, January 2023, pp. 623-640.
IEEE DOI 2212
Cameras, Solid modeling, Clothing, Geometry, Faces, Biological system modeling, Human behavioral imaging, 3D geometry and appearance BibRef

Yu, Z.X.[Zhi-Xuan], Yoon, J.S.[Jae Shin], Lee, I.K.[In Kyu], Venkatesh, P.[Prashanth], Park, J.[Jaesik], Yu, J.H.[Ji-Hun], Park, H.S.[Hyun Soo],
HUMBI: A Large Multiview Dataset of Human Body Expressions,
CVPR20(2987-2997)
IEEE DOI 2008
Cameras, Face, Clothing, Solid modeling, Biological system modeling, Geometry BibRef

Gong, F.M.[Fa-Ming], Li, Y.J.[Yun-Jing], Yuan, X.B.[Xiang-Bing], Liu, X.[Xin], Gao, Y.T.[Ya-Ting],
Human elbow flexion behaviour recognition based on posture estimation in complex scenes,
IET-IPR(17), No. 1, 2023, pp. 178-192.
DOI Link 2301
BibRef

Combettes, S.W.[Sylvain W.], Boniol, P.[Paul], Mazarguil, A.[Antoine], Wang, D.P.[Dan-Ping], Vaquero-Ramos, D.[Diego], Chauveau, M.[Marion], Oudre, L.[Laurent], Vayatis, N.[Nicolas], Vidal, P.P.[Pierre-Paul], Roren, A.[Alexandra], Lefèvre-Colau, M.M.[Marie-Martine],
Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination,
IPOL(14), 2024, pp. 1-13.
DOI Link 2402
Dataset, Upper Body Motion. BibRef

Lei, H.L.[Hong-Liang], Wang, T.L.[Tian-Lei], Bao, X.F.[Xian-Fu], Huang, H.F.[Hua-Fei], Cao, J.W.[Jiu-Wen],
Auxiliary Label Classification Based Multi-Label Limb Movement Recognition of Preterm Infant,
CirSysVideo(34), No. 7, July 2024, pp. 6608-6612.
IEEE DOI 2407
Pediatrics, Task analysis, Convolution, Correlation, Monitoring, Legged locomotion, Training, Preterm infants health monitoring, fusion loss function BibRef

Loke, S.C., MacDonald, B.A., Parsons, M., Wünsche, B.C.,
Fast Portrait Segmentation of the Head and Upper Body,
IVCNZ20(1-6)
IEEE DOI 2012
Deep learning, Image segmentation, Neural networks, Streaming media, Real-time systems, Standards, Testing, Portrait segmentation BibRef

Shahid, M., Beyan, C., Murino, V.,
Voice Activity Detection by Upper Body Motion Analysis and Unsupervised Domain Adaptation,
HBU19(1260-1269)
IEEE DOI 2004
feature extraction, image classification, image motion analysis, speech processing, unsupervised learning, social interactions BibRef

Menychtas, D.[Dimitrios], Glushkova, A.[Alina], Manitsaris, S.[Sotirios],
Extracting the Inertia Properties of the Human Upper Body Using Computer Vision,
CVS19(596-603).
Springer DOI 1912
BibRef

Nicora, E.[Elena], Goyal, G.[Gaurvi], Noceti, N.[Nicoletta], Odone, F.[Francesca],
The Effects of Data Sources: A Baseline Evaluation of the MoCA Dataset,
CIAP19(I:544-555).
Springer DOI 1909
multi-view video sequences of upper body actions in a cooking scenario. BibRef

Zhu, Y., Zhang, L.,
A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,
ICPR18(171-176)
IEEE DOI 1812
Object detection, Head, Surveillance, Detectors, Proposals, TV BibRef

Glonek, G.[Grzegorz], Wojciechowski, A.[Adam],
Kinect and IMU Sensors Imprecisions Compensation Method for Human Limbs Tracking,
ICCVG16(316-328).
Springer DOI 1611
BibRef

Probst, T.[Thomas], Fossati, A.[Andrea], Van Gool, L.J.[Luc J.],
Combining Human Body Shape and Pose Estimation for Robust Upper Body Tracking Using a Depth Sensor,
ACVR16(II: 285-301).
Springer DOI 1611
BibRef

Fitte-Duval, L.[Laurent], Mekonnen, A.A.[Alhayat Ali], Lerasle, F.[Frédéric],
Combination of RGB-D Features for Head and Upper Body Orientation Classification,
ACIVS16(591-603).
Springer DOI 1611
BibRef

Ke, L.P.[Li-Peng], Chang, M.C.[Ming-Ching], Qi, H.G.[Hong-Gang], Lyu, S.W.[Si-Wei],
Multi-Scale Structure-Aware Network for Human Pose Estimation,
ECCV18(II: 731-746).
Springer DOI 1810
BibRef
Earlier: A1, A3, A2, A4:
Multi-Scale Supervised Network for Human Pose Estimation,
ICIP18(564-568)
IEEE DOI 1809
Heating systems, Pose estimation, Wrist, Elbow, Training, Feature extraction, Shoulder, human pose estimation, regression network BibRef

Chang, M.C.[Ming-Ching], Qi, H.G.[Hong-Gang], Wang, X.[Xin], Cheng, H.[Hong], Lyu, S.W.[Si-Wei],
Fast Online Upper Body Pose Estimation from Video,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Park, S.[Seyoung], Zhu, S.C.[Song-Chun],
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose,
ICCV15(2372-2380)
IEEE DOI 1602
Data models; Geometry; Grammar; Hair; Predictive models; Torso; Training BibRef

Rothrock, B.[Brandon], Park, S.[Seyoung], Zhu, S.C.[Song-Chun],
Integrating Grammar and Segmentation for Human Pose Estimation,
CVPR13(3214-3221)
IEEE DOI 1309
BibRef

Tsai, M.H.[Ming-Han], Chen, K.H.[Kuan-Hua], Lin, I.C.[I-Chen],
Real-time upper body pose estimation from depth images,
ICIP15(2234-2238)
IEEE DOI 1512
Pose estimation; arm pose; depth image; randomized forest BibRef

Yang, C.[Cheng], Kerr, A.[Andrew], Stankovic, V.[Vladimir], Stankovic, L.[Lina], Rowe, P.[Philip],
Upper limb movement analysis via marker tracking with a single-camera system,
ICIP14(2285-2289)
IEEE DOI 1502
Calibration BibRef

Olsen, M.D.[Mikkel Damgaard], Herskindt, A.[Anna], Nielsen, J.B.[Jens Bo], Paulsen, R.R.[Rasmus R.],
Using Motion Tracking to Detect Spontaneous Movements in Infants,
SCIA15(410-417).
Springer DOI 1506
BibRef
Earlier:
Model-Based Motion Tracking of Infants,
ACVR14(673-685).
Springer DOI 1504
BibRef
And:
Body Part Tracking of Infants,
ICPR14(2167-2172)
IEEE DOI 1412
Extremities BibRef

Burke, M.[Michael], Lasenby, J.[Joan],
Fast Upper Body Joint Tracking Using Kinect Pose Priors,
AMDO14(94-105).
Springer DOI 1407
BibRef

Handrich, S.[Sebastian], Al-Hamadi, A.[Ayoub],
Upper-Body Pose Estimation Using Geodesic Distances and Skin-Color,
ACIVS13(150-161).
Springer DOI 1311
BibRef

Waizenegger, W., Feldmann, I., Schreer, O., Eisert, P.,
Scene flow constrained multi-prior patch-sweeping for real-time upper body 3D reconstruction,
ICIP13(2086-2090)
IEEE DOI 1402
3D reconstruction; real-time; scene flow; upper body BibRef

Sánchez, D.[Daniel], Ortega, J.C.[Juan Carlos], Bautista, M.Á.[Miguel Ángel], Escalera, S.[Sergio],
Human Body Segmentation with Multi-limb Error-Correcting Output Codes Detection and Graph Cuts Optimization,
IbPRIA13(50-58).
Springer DOI 1307
BibRef

Hernandez-Vela, A.[Antonio], Zlateva, N.[Nadezhda], Marinov, A.[Alexander], Reyes, M.[Miguel], Radeva, P.I.[Petia I.], Dimov, D.[Dimo], Escalera, S.[Sergio],
Graph cuts optimization for multi-limb human segmentation in depth maps,
CVPR12(726-732).
IEEE DOI 1208
BibRef

Figueroa, N.[Nadia], Ali, H.[Haider], Schmidt, F.[Florian],
3D Registration for Verification of Humanoid Justin's Upper Body Kinematics,
CRV12(276-283).
IEEE DOI 1207
BibRef

Jain, H.P.[Himanshu Prakash], Subramanian, A.[Anbumani], Das, S.[Sukhendu], Mittal, A.[Anurag],
Real-Time Upper-Body Human Pose Estimation Using a Depth Camera,
MIRAGE11(227-238).
Springer DOI 1110
BibRef

Li, Z.N.[Zhen-Ning], Kulic, D.[Dana],
Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images,
CRV11(219-226).
IEEE DOI 1105
BibRef
Earlier:
Particle filter based human motion tracking,
ICARCV10(555-560).
IEEE DOI 1109
BibRef

Oh, C.M.[Chi-Min], Islam, M.Z.[Md. Zahidul], Lee, C.W.[Chil-Woo],
Pictorial structures-based upper body tracking and gesture recognition,
FCV11(1-6).
IEEE DOI 1102
BibRef

Park, J.W.[Jae-Wan], Song, D.H.[Dae-Hyeon], Lee, C.W.[Chil-Woo],
Upper-body pose recognition using cylindrical coordinate system,
FCV13(133-136).
IEEE DOI 1304
BibRef

Park, J.W.[Jae-Wan], Lee, Y.C.[Yong-Cheol], Jo, B.S.[Byeong-Su], Lee, C.W.[Chil-Woo],
Virtual playing ground interface using upper-body gesture recognition,
FCV11(1-5).
IEEE DOI 1102
BibRef

Jacques Junior, J.C.S.[Julio C.S.], Dihl, L., Jung, C.R., Thielo, M.R., Keshet, R., Musse, S.R.,
Human upper body identification from images,
ICIP10(1717-1720).
IEEE DOI 1009
BibRef

Rybok, L.[Lukas], Voit, M.[Michael], Ekenel, H.K.[Hazim Kemal], Stiefelhagen, R.[Rainer],
Multi-view Based Estimation of Human Upper-Body Orientation,
ICPR10(1558-1561).
IEEE DOI 1008
BibRef

Fahn, C.S.[Chin-Shyurng], Chiang, S.L.[Sheng-Lung],
Real-Time Upper-Limbs Posture Recognition Based on Particle Filters and AdaBoost Algorithms,
ICPR10(3854-3857).
IEEE DOI 1008
BibRef

Li, L.Y.[Li-Yuan], Hoe, K.E.[Kah Eng], Yu, X.G.[Xin-Guo], Dong, L.[Li], Chu, X.Q.[Xin-Qi],
Human Upper Body Pose Recognition Using Adaboost Template for Natural Human Robot Interaction,
CRV10(370-377).
IEEE DOI 1005
BibRef

Hoshiai, K.[Kazuki], Fujie, S.[Shinya], Kobayashi, T.[Tetsunori],
Upper-Body Contour Extraction Using Face and Body Shape Variance Information,
PSIVT09(862-873).
Springer DOI 0901
BibRef

Zhang, L.[Lei], Chen, J.X.[Ji-Xu], Zeng, Z.[Zhi], Ji, Q.A.[Qi-Ang],
2D and 3D upper body tracking with one framework,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Hahn, M.[Markus], Kruger, L.[Lars], Wohler, C.[Christian],
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Siddiqui, M.[Matheen], Medioni, G.[Gérard],
Efficient Upper Body Pose Estimation from a Single Image or a Sequence,
HUMO07(74-87).
Springer DOI 0710
BibRef
Earlier:
Real Time Limb Tracking with Adaptive Model Selection,
ICPR06(IV: 770-773).
IEEE DOI 0609
BibRef
And:
Robust real-time upper body limb detection and tracking,
VSSN06(53-60).
WWW Link. 0701
BibRef

Rezzoug, N.[Nasser], Gorce, P.[Philippe],
Upper-Limb Posture Definition During Grasping with Task and Environment Constraints,
GW05(212-223).
Springer DOI 0505
BibRef

Ziegler, J.[Julius], Nickel, K.[Kai], Stiefelhagen, R.[Rainer],
Tracking of the Articulated Upper Body on Multi-View Stereo Image Sequences,
CVPR06(I: 774-781).
IEEE DOI 0606
BibRef

Mulligan, J.[Jane],
Upper Body Pose Estimation from Stereo and Hand-Face Tracking,
CRV05(413-420).
IEEE DOI 0505
BibRef

Cavin, R.D., Nefian, A.V., Goel, N.,
A bavesian formulation for 3d articulated upper body segmentation and tracking from dense disparity maps,
ICIP03(II: 97-100).
IEEE DOI 0312
BibRef

Nefian, A.V., Grzeszczuk, R., Eruhimov, V.,
A Statistical Upper Body Model for 3d Static and Dynamic Gesture Recognition from Stereo Sequences,
ICIP01(III: 286-289).
IEEE DOI 0108
BibRef

Roby-Brami, A.[Agnès], Mokhtari, M.[Mounir], Laffont, I.[Isabelle], Bennis, N.[Nezha], Biryukova, E.[Elena],
Analysis of Trunk and Upper Limb Synergies,
GW99(53).
Springer DOI 9903
BibRef

Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Posture and Shape, Clothing Related .