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Other publications by Jean-Christophe Nebel

Tracking Human Body Parts Using Particle Filters Constrained by Human Biomechanics

J. Martinez del Rincon, J.-C. Nebel, D. Makris and C. Orrite-Urunuela

British Machine Vision Conference (BMVC 2008)
September 2008, Leeds, UK
[PDF]

Abstract
In this paper, a novel framework for visual tracking of human body parts is introduced. The presented approach demonstrates the feasibility of recovering human poses with data from a single uncalibrated camera using a limb tracking system based on a 2D articulated model. It is constrained only by biomechanical knowledge about human bipedal motion, instead on relying on constraints linked to a specific activity or camera view. These characteristics make our approach suitable for real visual surveillance applications. Experiments on HumanEva I & II datasets demonstrate the effectiveness of our method on tracking human lower body parts. Moreover, a detail comparison with current tracking methods is presented.

Cited by ( Google Scholar: 17, ISI Web of Knowledge: / & SCOPUS: 7 ): 17

2023

Exploring the Perception of Center of Mass changes for VR Avatars, B. Vyas, L. Hoyet, C. O’Sullivan, International Conference on Artificial Reality and Telexistence, Eurographics Symposium on Virtual Environments, 2023 (G)

2020

Literature Survey on Multi-Camera System and Its Application AS Olagoke, H Ibrahim, SS Teoh, IEEE Access, Volume 8, pp. 172892-172922, 2020 (G)
Real-time Physics Based Character Control carrying Load, Bharat Vyas, MSc Thesis, University of Dublin, Trinity College, 2020 (G)

2019

S-Duct Aerodynamics: Optical Distortion Correction Methods for the Application of Particle Image Velocimetry Techniques in Convoluted Aero Engine Intakes, Stefano Merlini, MSc Thesis, Dipartimento di Ingegneria Industriale DII, UNIVERSITA DEGLI STUDI DI PADOVA, Italy, 2019 (G)

2016

A particle filtering-based estimation of distribution algorithm for multi-objective optimisation, Xiaoran Shi, Nurcin Celik, International Journal of Simulation and Process Modelling, 11(3-4):176-191, 2016 (G) (S)

2014

Athlete pose estimation by non-sequential key-frame propagation, Mykyta Fastovets, Jean-Yves Guillemaut, Adrian Hilton, CVMP'14, European Conference on Visual Media Production, 2014 (G) (S)

2013

Tracking People's Hands and Feet Using Mixed Network AND/OR Search, Morariu, V.I.; Harwood, D. ; Davis, L.S; IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(5), pp. 1248-1262, 2013 (G) (S)
Tracking Human Body Motion by the Depth and Color in Video Captured Image, Gao Qi Jun, Master Thesis, Department of Information Engineering, Tamkang University, 2013 (G)

2011

Sports TV Applications of Computer Vision, Graham Thomas, VISUAL ANALYSIS OF HUMANS 2011, Part 4, 563-579 (G)
2D and 3D pose recovery from a single uncalibrated video: A view and activity independent framework, J.C. Nebel, P. Kuo and D. Makris, In Multimedia Analysis, Processing and Communication, Studies in Computational Intelligence Edited by Li, W.;Tao, D.;Kacprzyk, J.;Khu, L.;Izquierdo, E.;Wang, H., Springer, 346, pp 391-411, 2011 (G)
Integration of Bottom-Up/Top-Down Approaches for 2D Pose Estimation Using Probabilistic Gaussian Modelling, P. Kuo, D. Makris and J.-C. Nebel, Computer Vision and Image Understanding, 115(2), pp 242-255, 2011 (G) (S)

2010

Tracking Human Position and Body Parts Using Kalman and Particle Filters Constrained by Human Biomechanics, J. Martinez-del-Rincon, D. Makris, C. Orrite-Urunuela and J.-C. Nebel, IEEE Transactions on Systems Man and Cybernetics - Part B', 40(4), 2010 (G) (S)
Human Body Parts Tracking Using Sequential Markov Random Fields, Xiao-Qin Cao, Jia Zeng, Zhi-Qiang Liu, 20th International Conference on Pattern Recognition (ICPR), 23-26 Aug. 2010 (G) (S)
Analyzing Structured Scenarios by Tracking People and Their Limbs, Morariu, Vlad Ion, PhD Thesis, Department of Computer Science, University of Maryland, 2010 (G)

2009

Exploiting Human Bipedal Motion Constraints for 3D Pose Recovery from a Single Uncalibrated Camera, P. Kuo, A. Thibault, M. Lewandowski, D. Makris and J.-C. Nebel, International conference on Computer Vision theory and Applications (VISAPP2009), February, Lisboa, Portugal (G)
CCTV Video Analytics: Recent Advances and Limitations, Sergio A. Velastin, VISUAL INFORMATICS: BRIDGING RESEARCH AND PRACTICE, Lecture Notes in Computer Science, 2009, Volume 5857/2009, 22-34 (G) (S)

2008

Integration of Local Image Cues for Probabilistic 2D Pose Recovery, P. Kuo, D. Makris, N. Megherbi and J.-C. Nebel, International Symposium on Visual Computing (ISVC2008), Springer-Verlag, December, Las Vegas, USA (G)

Last updated in June 2012
j.nebel@kingston.ac.uk