de Recherche et d’Innovation
en Cybersécurité et Société
Renaud, P.; Goyette, M.; Chartier, S.; Zhornitski, S.; Trottier, D.; Rouleau, J. -L.; Proulx, J.; Fedoroff, P.; Bradford, J. -P.; Dassylva, B.; Bouchard, S.
In: Nonlinear Dynamics, Psychology, and Life Sciences, vol. 14, no. 4, pp. 463–489, 2010, ISSN: 10900578.
Abstract | Links | BibTeX | Tags: adult, Arousal, article, behavior, computer interface, Computer Simulation, Computer-Assisted, Erotica, eye movement, Eye movements, human, Humans, Intention, male, mathematical computing, Middle Aged, Nonlinear Dynamics, nonlinear system, pathophysiology, Pedophilia, Penis, physiology, Plethysmography, psychological aspect, Psychomotor Performance, publication, reference value, Reference Values, Sexual Behavior, Signal processing, User-Computer Interface, vascularization
@article{renaud_sexual_2010,
title = {Sexual affordances, perceptual-motor invariance extraction and intentional nonlinear dynamics: Sexually deviant and non-deviant patterns in male subjects},
author = {P. Renaud and M. Goyette and S. Chartier and S. Zhornitski and D. Trottier and J. -L. Rouleau and J. Proulx and P. Fedoroff and J. -P. Bradford and B. Dassylva and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049436590&partnerID=40&md5=f7c928ae6a9624c1c3704748a20f03ec},
issn = {10900578},
year = {2010},
date = {2010-01-01},
journal = {Nonlinear Dynamics, Psychology, and Life Sciences},
volume = {14},
number = {4},
pages = {463–489},
abstract = {Sexual arousal and gaze behavior dynamics are used to characterize deviant sexual interests in male subjects. Pedophile patients and non-deviant subjects are immersed with virtual characters depicting relevant sexual features. Gaze behavior dynamics as indexed from correlation dimensions (D2) appears to be fractal in nature and significantly different from colored noise (surrogate data tests and recurrence plot analyses were performed). This perceptual-motor fractal dynamics parallels sexual arousal and differs from pedophiles to non-deviant subjects when critical sexual information is processed. Results are interpreted in terms of sexual affordance, perceptual invariance extraction and intentional nonlinear dynamics. © 2010 Society for Chaos Theory in Psychology & Life Sciences.},
keywords = {adult, Arousal, article, behavior, computer interface, Computer Simulation, Computer-Assisted, Erotica, eye movement, Eye movements, human, Humans, Intention, male, mathematical computing, Middle Aged, Nonlinear Dynamics, nonlinear system, pathophysiology, Pedophilia, Penis, physiology, Plethysmography, psychological aspect, Psychomotor Performance, publication, reference value, Reference Values, Sexual Behavior, Signal processing, User-Computer Interface, vascularization},
pubstate = {published},
tppubtype = {article}
}
Renaud, P.; Chartier, S.; Kaufman, D.
Perceptual constancy and the dynamics of extracting perceptual Visual invariants in virtual immersion Proceedings Article
In: Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008, pp. 169–174, Innsbruck, 2008, ISBN: 978-0-88986-717-8.
Abstract | Links | BibTeX | Tags: Constancy, Control theory, Dynamics, Fractal dynamics, Fractals, Gaze behaviors, Motor behaviors, Non-linear properties, Pattern Recognition, Signal processing, virtual reality, vision, Visual explorations, Visual invariances, Visual Perception
@inproceedings{renaud_perceptual_2008,
title = {Perceptual constancy and the dynamics of extracting perceptual Visual invariants in virtual immersion},
author = {P. Renaud and S. Chartier and D. Kaufman},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62949103012&partnerID=40&md5=9df991c7218b66f2dfa6cd05b4b58151},
isbn = {978-0-88986-717-8},
year = {2008},
date = {2008-01-01},
booktitle = {Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008},
pages = {169–174},
address = {Innsbruck},
abstract = {Visual perception relies on perceptual constancy to guide motor behavior. This constancy can be assimilated to topological invariance extracted from visual exploration of the surrounding. In this paper, gaze behavior data coming from an experiment conducted in virtual immersion are analyzed to better understand their nonlinear properties. Results point toward an explanation of the process of perceptual visual invariance extraction in terms of fractal dynamics.},
keywords = {Constancy, Control theory, Dynamics, Fractal dynamics, Fractals, Gaze behaviors, Motor behaviors, Non-linear properties, Pattern Recognition, Signal processing, virtual reality, vision, Visual explorations, Visual invariances, Visual Perception},
pubstate = {published},
tppubtype = {inproceedings}
}
Allili, M. S.; Bouguila, N.; Ziou, D.
Online video foreground segmentation using general Gaussian mixture modeling Proceedings Article
In: ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications, pp. 959–962, Dubai, 2007, ISBN: 978-1-4244-1236-5.
Abstract | Links | BibTeX | Tags: Bayesian approaches, Bayesian networks, Finite mixture models, Gaussian, Gaussian mixture modeling, Illumination changes, Image segmentation, Mixture of general gaussians (MoGG), Mixtures, MML, On-line estimations, Online videos, Parameter estimation, Signal processing, Trellis codes, Video foreground segmentation
@inproceedings{allili_online_2007,
title = {Online video foreground segmentation using general Gaussian mixture modeling},
author = {M. S. Allili and N. Bouguila and D. Ziou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-60349106169&doi=10.1109%2fICSPC.2007.4728480&partnerID=40&md5=85c72d00cc58f61baf5ff006dc44957f},
doi = {10.1109/ICSPC.2007.4728480},
isbn = {978-1-4244-1236-5},
year = {2007},
date = {2007-01-01},
booktitle = {ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications},
pages = {959–962},
address = {Dubai},
abstract = {In this paper, we propose a robust video foreground modeling by using a finite mixture model of general Gaussian distributions (GGD). The model has a flexibility to model the video background in the presence of sudden illumination changes and shadows, allowing for an efficient foreground segmentation. In a first part of the present work, we propose a derivation of the online estimation of the parameters of the mixture of GGDs and we propose a Bayesian approach for the selection of the number of classes. In a second part, we show experiments of video foreground segmentation demonstrating the performance of the proposed model. © 2007 IEEE.},
keywords = {Bayesian approaches, Bayesian networks, Finite mixture models, Gaussian, Gaussian mixture modeling, Illumination changes, Image segmentation, Mixture of general gaussians (MoGG), Mixtures, MML, On-line estimations, Online videos, Parameter estimation, Signal processing, Trellis codes, Video foreground segmentation},
pubstate = {published},
tppubtype = {inproceedings}
}