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Other publications by Jean-Christophe Nebel

Are Current Monocular Computer Vision Systems for Human Action Recognition Suitable for Visual Surveillance Applications?

, J.-C. Nebel, M. Lewandowski, J. Thevenon, F. Martinez and S. Velastin

International Symposium on Visual Computing, September 26-28, Las Vegas, Nevada, USA, 2011
2011
[PDF]

Abstract
Since video recording devices have become ubiquitous, the automated analysis of human activity from a single uncalibrated video has become an essential area of research in visual surveillance. Despite variability in terms of human appearance and motion styles, in the last couple of years, a few computer vision systems have reported very encouraging results. Would these methods be already suitable for visual surveillance applications? Alas, few of them have been evaluated in the two most challenging scenarios for an action recognition system: view independence and human interactions. Here, first a review of monocular human action recognition methods that could be suitable for visual surveillance is presented. Then, the most promising frameworks, i.e. methods based on advanced dimensionality reduction, bag of words and random forest, are described and evaluated on IXMAS and UT-Interaction datasets. Finally, suitability of these systems for visual surveillance applications is discussed.

Cited by ( Google Scholar: 17, ISI Web of Knowledge: / & SCOPUS: 8 ): 18

2021

Active Security by Implementing Intrusion Detection and Facial Recognition, Prakash R., Chithaluru P., In: Nath V., Mandal J. (eds) Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, vol 692. Springer, Singapore. https://doi.org/10.1007/978-981-15-7486-3_1, 2021 (G)

2017

Video Person Re-Identification for Wide Area, Tracking based on Recurrent Neural Networks, McLaughlin, N., Martinez del Rincon, J., & Miller, P., IEEE Transactions on Circuits and Systems for Video Technology, PP(69), 2017 (G) (S)

2016

Hierarchical Task Network Planning with Common-Sense Reasoning for Multiple-People Behaviour Analysis, Maria J. Santofimia, Jesus Martinez-del-Rincon, Xin Hong, Huiyu Zhou, Paul Miller, David Villa, Juan C. Lopez, Expert Systems with Applications, in press, 2016 (G)
Recognising occluded multi-view actions using local nearest neighbour embedding, Long, Yang, Zhu, Fan and Shao, Ling, Computer Vision and Image Understanding, Volume 144 Issue C, March, Pages 36-45, 2016 (G)
Daten- und Dimensionsreduktionstechniken für Big Data Analytics, Asem Saleh, MSc Thesis, University of Rostock, Germany, 2016 (G) Image Based Human Intruder Prevention System for Industry, KHAING ZIN TUN, WUT YI WIN, International Journal of Scientific Engineering and Technology Research (IJSETR), 5(27):5525-5529, ISSN 2319-8885, 2016 (G)

2015

Visual Feature Learning, Fan Zhu, PhD Thesis, Department of Electronic and Electrical Engineering, University of Sheffield, 2015 (G)

2014

Human action recognition from simple feature pooling, Manuel J. Marin-Jimenez, Nicolas Perez de la Blanca, M. Angeles Mendoza, Pattern Analysis and Applications, 17(1):17-36, 2014 (G) (S)
A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context, Alexandros Andre Chaaraoui, Jose Ramon Padilla-Lopez, Francisco Javier Ferrandez-Pastor, Mario Nieto-Hidalgo and Francisco Florez-Revuelta, Sensors, 14(5):8895-8925, 2014 (G) (S)
Sensing, Perceiving, and Understanding Actions, Juan Carlos Lopez, Maria Jose Santofimia, Jesus Martinez del Rincon, and Scott E. Fahlman, International Journal of Distributed Sensor Networks, Volume 2014, Article ID 790210, 2 pages, 2014 (G) (S)
A Low-Dimensional Radial Silhouette-Based Feature for Fast Human Action Recognition Fusing Multiple Views, Alexandros Andre Chaaraoui and Francisco Florez-Revuelta, International Scholarly Research Notices, Volume 2014, Article ID 547069, 11 pages, 2014 (G)
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) (S)
Vision-based Recognition of Human Behaviour for Intelligent Environments, Alexandros Andre Chaaraoui, PhD Thesis, University of Alicante, 2014

2013

Multi-view action recognition using local similarity random forests and sensor fusion, Fan Zhu, Ling Shao, Mingxiu Lin, Pattern Recognition Letters, 34(1):20-24, 2013 (G)
Common Sense Reasoning for Human Action Recognition, J. Martinez del Rincon, Maria J. Santofimia and J.-C. Nebel, Pattern Recognition Letters, 34(15):1849-1860, 2013 (G) (S)
A Unified Intrusion Alert System using Motion Detection and Face Recognition, Sameerchand Pudaruth, Faugoo Indiwarsingh and Nandrakant Bhugun, 2nd International Conference on Machine Learning and Computer Science(IMLCS'2013), Kuala Lumpur (Malaysia), 2013 (G)

2012

A System for Epileptic Seizure Focus Detection Based on EEG Analysis, Maria Jose Santofimia Romero, Xavier del Toro, Jesus Barba, Julio Dondo, Francisca Romero, Patricia Navas, Ana Rubio, Juan Carlos Lopez, Ubiquitous Computing and Ambient Intelligence, Lecture Notes in Computer Science Volume 7656, pp 407-414, 2012 (G) (S)
Common-Sense Knowledge for a Computer Vision System for Human Action Recognition, M. J. Santofimia, J. Martinez del Rincon, and J.-C. Nebel, International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2012), Vitoria-Gasteiz, Spain, December 3-5, 2012 (G) (S)

j.nebel@kingston.ac.uk