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Other publications by Jean-Christophe Nebel

Camera Auto-Calibration from Articulated Motion

P. Kuo, J.-C. Nebel and D. Makris

IEEE International Conference on Advanced Video and Signal based Surveillance
5-7 September 2007, London, UK
[PDF]

Abstract
This paper presents a novel auto-calibration method from unconstrained human body motion. It relies on the underlying biomechanical constraints associated with human bipedal locomotion. By analysing positions of key points during a sequence, our technique is able to detect frames where the human body adopts a particular posture which ensures the coplanarity of those key points and therefore allows a successful camera calibration. Our technique includes a 3D model adaptation phase which removes the requirement for a precise geometrical 3D description of those points. Our method is validated using a variety of human bipedal motions and camera configurations.

Cited by ( Google Scholar: 10, ISI Web of Knowledge: 1 & SCOPUS: 7 ): 10

2017

Estimating Camera Tilt from Motion without Tracking, N Elassal, JH Elder, 14th Conference on Computer and Robot Vision, 2017 (G) (I) (S)

2016

Unsupervised Methods for Camera Pose Estimation and People Counting in Crowded Scenes, NHK Elasal, Master of Science Thesis, YORK UNIVERSITY, TORONTO, ONTARIO, 2016 (G)

2014

Use of Microsoft Kinect in a dual camera setup for action recognition applications, OG Kayal, Master of Science Thesis, University of Western Ontario, 2014 (G)

2012

Camera calibration using adaptive segmentation and ellipse fitting for localizing control points, CD Prakash, LJ Karam, 19th IEEE International Conference on Image Processing (ICIP), 2012 (G)

2011

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)
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) (S)

2010

Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series, M. Lewandowski, J. Martinez del Rincon, D. Makris and J.-C. Nebel, International Conference on Pattern Recognition (ICPR 2010), August 23-26, 2010, Istanbul, Turkey (G) (S)
3D Pose Estimation from Silhouettes in Cyclic Activities Encoded by a Dense Gaussians Mixture Model, S. A. Dadgar, J.-C. Nebel and D. Makris, International Conference on Computer Vision Theory and Applications (VISAPP 2010), 17-21 May 2010, Angers, France (G) (S)

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 2009, Lisboa, Portugal (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) (S)

j.nebel@kingston.ac.uk