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Other publications by Jean-Christophe Nebel

View and Style-Independent Action Manifolds for Human Activity Recognition

M. Lewandowski, D. Makris and J.-C. Nebel

European Conference on Computer Vision (ECCV 2010)
September 5-11, Crete, Greece, 2010
[PDF]

Abstract
We introduce a novel approach to automatically learn intuitive and compact descriptors of human body motions for activity recognition. Each action descriptor is produced,first, by applying Temporal Laplacian Eigenmaps to view-dependent videos in order to produce a stylistic invariant embedded manifold for each view separately. Then, all view-dependent manifolds are automatically combined to discover a unified representation which model in a single three dimensional space an action independently from style and viewpoint. In addition, a bidirectional nonlinear mapping function is incorporated to allow projecting actions between original and embedded spaces. The proposed framework is evaluated on a real and challenging dataset (IXMAS), which is composed of a variety of actions seen from arbitrary viewpoints. Experimental results demonstrate robustness against style and view variation and match the most accurate action recognition method.

Cited by ( Google Scholar: 41, ISI Web of Knowledge: 21 & SCOPUS: 22 ): 48

2022

BreathMentor: Acoustic-based Diaphragmatic Breathing Monitor System, Yanbin Gong, Qian Zhang, Bobby H.P. NG, Wei Li, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(2), Article No.53, pp 1–28, doi.org/10.1145/3534595, 2022 (G) (I)

2021

Multi-camera Human Action Recognition: Traditional Approaches, Gaurav Srivastava, Johnny Park, Avinash C. Kak, B. Tamersoy, J. K. Aggarwal, In book: Computer Vision, A Reference Guide, DOI: 10.1007/978-3-030-63416-2_776, 2021 (G)
Human Action Recognition using Prominent Camera, PS Kavimandan, R Kapoorb, K Yadava, International Journal of Engineering, B: Applications, 34(2):427-432, 2021 (G) (S)

2020

Wearable Sensor Applications: Processing of Egocentric Videos and Inertial Measurement Unit Data, Yantao Lu, Senem Velipasalar, In book: Embedded, Cyber-Physical, and IoT Systems, DOI: 10.1007/978-3-030-16949-7_7, 2020 (G)

2019

Bilayer model for cross-view human action recognition based on transfer learning, Yandi Li, Xiping Xu, Jiahong Xu, Enyu Du, J. of Electronic Imaging, 28(3), https://doi.org/10.1117/1.JEI.28.3.033016, 2019 (G) (I) (S)
Multi-Domain and Multi-Task Learning for Human Action Recognition, An-An Liu, Ning Xu, Wei-Zhi Nie, Yu-Ting Su, Yong-Dong Zhang, IEEE Transactions on Image Processing, Volume: 28, Issue: 2, pp 853-867, 2019 (G) (I) (S)
A Review on Human Action Recognition and Machine Learning Techniques for Suicide Detection System, V. Rahul Chiranjeevi, D. Elangovan, In book: Innovations in Bio-Inspired Computing and Applications, DOI: 10.1007/978-3-030-16681-6_5, 2019 (G)

2017

A Low Power Multi-channel Input Delta-Sigma ADC without Reset, AKS Kumar, D Behera, N Krishnapura, 2017 30th International Conference on VLSI Design and 2017 16th International Conference on Embedded Systems (VLSID), DOI: 10.1109/VLSID.2017.85, 2017 (G)

2016

A fuzzy approach for early human action detection, Ekta Vats, PhD thesis, University of Malaya, 2016 (G)

2015

Exploiting Cross Domain Relationships for Target Recognition, Wei Wang, University of Tennessee - Knoxville, PhD Thesis, 2015 (G)
Heterogeneous Discriminant Analysis for Cross-View Action Recognition, Wanchen Sui, Xinxiao Wu, Yang Feng, Wei Liang, Yunde Jia, Neural Information Processing, Volume 9492 of the series Lecture Notes in Computer Science pp 566-573, 2015 (G) (I) (S)
Cross-View Action Recognition Over Heterogeneous Feature Spaces, Wu, Xinxiao; Wang, Han; Liu, Cuiwei; et al., IEEE TRANSACTIONS ON IMAGE PROCESSING, 24(11):4096-4108, 2015 (I) (S)
Fuzzy human motion analysis: A review, CH Lim, E Vats, CS Chan, PATTERN RECOGNITION, 48(5):1773-1796, 2015 (G) (I) (S)
Estimating human actions affinities across views, Noceti N., Sciutti A., Rea F., Odone F., Sandini G., 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015; Berlin; Germany, 2015 (S)
Recognizing human actions via silhouette image analysis, Zhang, De, Control and Decision Conference (CCDC)2015, 27th Chinese, 5870-5874, 23-25 May 2015 (G)
Human action recognition via compressive-sensing-based dimensionality reduction, J Jiang, X He, M Gao, X Wang, X Wu, Optik 126:882-887, 2015 (G) (I) (S)
Fuzzy qualitative approach to address uncertainty in human motion analysis, Chern Hong Lim, PhD thesis, University of Malaya, 2015 (G)

2014

Automatic Segmentation and Recognition of Human Actions in Monocular Sequences, Carlos Orrite, Mario Rodriguez, Elias Herrero, Gregory Rogez, Sergio A. Velastin, International Conference on Pattern Recognition (ICPR), 2014 (G) (I) (S)
Episodic Reasoning for Vision-Based Human Action Recognition, Maria J. Santofimia, J. Martinez del Rincon, and J.-C. Nebel, The Scientific World Journal, vol. 2014, Article ID 270171, 18 pages, 2014 (G) (I) (S)
Multi-camera Human Action Recognition, Gaurav Srivastava, Johnny Park, Avinash C Kak, Birgi Tamersoy, JK Aggarwal, Computer Vision: A Reference Guide, 501-511, 2014 (G)
Structural Laplacian Eigenmaps for Modeling Sets of Multivariate Sequences, M Lewandowski, D. Makris, S.A. Velastin and J.-C. Nebel, IEEE Transactions on Cybernetics, 44(6): 936-949, 2014 (I) (S)
3D Pose from Motion for Cross-view Action Recognition via Non-linear Circulant Temporal Encoding, A Gupta, J Martinez, JJ Little, RJ Woodham, CVPR, 2014 (G)
Vision-based Recognition of Human Behaviour for Intelligent Environments, Alexandros Andre Chaaraoui, PhD Thesis, University of Alicante, 2014

2013

View-invariant action recognition: a survey, Feng Jiageng, Xiao jun, Journal of Image and Graphics, 18(2), 2013 (G)
Action recognition across cameras via reconstructable paths, Wang, Wei ; Luo, Jiajia ; Qi, Hairong; 2013 Seventh International Conference on Distributed Smart Cameras (ICDSC), Palm Springs, CA, USA, 2013 (G)
Cross-view Action Recognition over Heterogeneous Feature Spaces, X Wu, H Wang, C Liu, Y Jia, ICCV 2013 - Sydney, Australia, 2013 (G)
Multi-view human action recognition: A survey, A Iosifidis, A Tefas, I Pitas, International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Beijing, China, 2013 (G)
Fuzzy Action Recognition for Multiple Views within Single Camera, Chern Hong Lim and Chee Seng Chan, Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Hyderabad, India. (G) (I) (S)
Common Sense Reasoning for Human Action Recognition, J. Martinez del Rincon, Maria J. Santofimia and J.-C. Nebel, Pattern Recognition Letters, 34(15), pp 1849-1860, 2013 (G)

2012

Recovering Human Pose in 3-D Via Visual Manifolds, Zibin Wang & Ronald Chung, International Journal of Optomechatronics, Volume 6, Issue 4, pp 304-320, 2012 (G) (I) (S)
Using Manifold Library for Visual Estimation of Human Pose in 3D, Zibin Wang and Ronald Chung, International Symposium on Optomechatronic Technologies (ISOT), 2012 (G)
Temporal Segmentation and Assignment of Successive Actions in a Long-Term Video, Guoliang Lu, Mineichi Kudo, Jun Toyam, Pattern Recognition Letters, Available online 10 November 2012 (G) (I) (S)
Recovering Human Pose in 3D by Visual Manifolds, Zibin Wang and Ronald Chung, 21st International Conference on Pattern Recognition (ICPR2012), pp.1771-1774, 2012 (G) (I) (S)
Transfer Discriminant-Analysis of Canonical Correlations for View-Transfer Action Recognition, Xinxiao Wu, Cuiwei Liu, and Yunde Jia, Pacific-Rim Conference on Multimedia, 2012 (G) (S)
View-invariant action recognition using latent kernelized structural SVM. Xinxiao Wu and Yunde Jia. European Conference on Computer Vision (ECCV 2012), Firenze, Italy, 2012 (G) (I) (S)
Scene Understanding from Aerospace Sensors: What can be Expected?, S. Herbin , F. Champagnat, J. Israel, F. Janez, B. Le Saux, V. Leung, A. Michel, Aerospace Lab, Issue 4, May 2012 (G)
Prime Discriminant Simplicial Complex, J Zhang, Z Xie, S Z Li, IEEE Transactions on Neural Networks and Learning Systems, Volume: PP, Issue: 99, 2012 (G) (I) (S)
Action recognition in visual sensor networks: a data fusion perspective Cilla Ugarte, Rodrigo, PhD Thesis, Universidad Carlos III de Madrid, Departamento de Informatica, Nov-2012 (G)
Independent Viewpoint Silhouette-Based Human Action Modeling and Recognition, Carlos Orrite, Francisco Martinez-Contreras, Elias Herrero, Hossein Ragheb, and Sergio A. Velastin, in Handbook on Soft Computing for Video Surveillance, Series:Chapman & Hall/CRC Cryptography and Network Security Series Published by Chapman and Hall/CRC, Editor(s):Sankar K. Pal, Alfredo Petrosino, Lucia Maddalena, 2012
Use of Multiple Views for Human Pose Estimation, Zibin WANG, PhD Thesis in Mechanical & Automation Engineering, The Chinese University of Hong Kong, January 2012 (G)
A Network of Audio and Video Sensors for Monitoring Large Environments, Claudio Piciarelli, Sergio Canazza, Christian Micheloni, Gian Luca Foresti, Handbook of Soft Computing for Video Surveillance, Chapman and Hall, 287-315, 2012 (G)

2011

Combining sparse and dense descriptors with temporal semantic structures for robust human action recognition, J Chen, G Zhao, V Kellokumpu, Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on, 2011 (G) (I)
Are current monocular computer vision systems for human action recognition suitable for visual surveillance applications?, JC Nebel, M Lewandowski, J Thevenon, F Martinez and S Velastin, Advances in Visual Computing, Lecture Notes in Computer Science, 2011, Volume 6939/2011, 290-299 (G) (S)
Nearest Prime Simplicial Complex for Object Recognition, J Zhang, Z Xie, S Z Li, arXiv:1106.0987v1, 2011 (G)
Probabilistic feature extraction from multivariate time series using spatio-temporal constraints, M Lewandowski, D Makris and JC Nebel, Advances in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, 2011, Volume 6635/2011, 173-184 (G) (I) (S)
Evaluating Manifold Learning Methods and Discriminative Sequence Classifiers in View-Invariant Action Recognition, R Cilla, M Patricio, A Berlanga and J M Molina, User-Centric Technologies and applications, Advances in Intelligent and Soft Computing, 2011, Volume 94/2011, 11-18 (G) (I) (S)
Fast human activity recognition based on structure and motion J Hu, N V Boulgouris, Pattern Recognition Letters, Volume 32, Issue 14, 2011, Pages 1814-1821 (G) (I) (S)
Improving the accuracy of action classification using view-dependent context information R Cilla, M Patricio, A Berlanga and J M Molina, Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, 2011, Volume 6679/2011, 136-143 (G) (I)

j.nebel@kingston.ac.uk