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Allili, M. S.; Ziou, D.
Adaptive appearance model for object contour tracking in videos Article d'actes
Dans: Proceedings - Fourth Canadian Conference on Computer and Robot Vision, CRV 2007, p. 510–517, Montreal, QC, 2007, ISBN: 0769527868 (ISBN); 978-076952786-4 (ISBN), (Journal Abbreviation: Proc. Fourth Can. Conf. Comput. Robot Vis.).
Résumé | Liens | BibTeX | Étiquettes: Adaptive parametric mixture models, Adaptive systems, Boundary, Color, Geometry, Image communication systems, Level sets, Level-sets, Mathematical models, Mixture of pdfs, Object mixture modelss, Pattern matching, Shape, Target tracking, Texture, Tracking, Variational techniques, Video sequences, Video signal processing
@inproceedings{allili_adaptive_2007,
title = {Adaptive appearance model for object contour tracking in videos},
author = {M. S. Allili and D. Ziou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548723968&doi=10.1109%2fCRV.2007.9&partnerID=40&md5=c10008163f7f45f743ef0dcb13444c72},
doi = {10.1109/CRV.2007.9},
isbn = {0769527868 (ISBN); 978-076952786-4 (ISBN)},
year = {2007},
date = {2007-01-01},
booktitle = {Proceedings - Fourth Canadian Conference on Computer and Robot Vision, CRV 2007},
pages = {510–517},
address = {Montreal, QC},
abstract = {In this paper, we propose a novel object tracking algorithm in video sequences. The formulation of the object tracking is based on variational calculus, where an adaptive parametric mixture model is used for object features representation. The tracking is based on matching the object mixture models between successive frames of the sequence by using active contours while adapting the mixture model to varying object appearance changes due to illumination conditions and camera geometry. The implementation of the method is based on level set active contours which allow for automatic topology changes and stable numerical schemes. We validate our approach on examples of object tracking performed on real video sequences. © 2007 IEEE.},
note = {Journal Abbreviation: Proc. Fourth Can. Conf. Comput. Robot Vis.},
keywords = {Adaptive parametric mixture models, Adaptive systems, Boundary, Color, Geometry, Image communication systems, Level sets, Level-sets, Mathematical models, Mixture of pdfs, Object mixture modelss, Pattern matching, Shape, Target tracking, Texture, Tracking, Variational techniques, Video sequences, Video signal processing},
pubstate = {published},
tppubtype = {inproceedings}
}
Allili, M. S.; Ziou, D.
Active contours for video object tracking using region, boundary and shape information Article de journal
Dans: Signal, Image and Video Processing, vol. 1, no 2, p. 101–117, 2007, ISSN: 18631711 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: Color and infrared, KL-distance, Level sets, Mixture models, Region/Boundary/Shape information, Tracking
@article{allili_active_2007,
title = {Active contours for video object tracking using region, boundary and shape information},
author = {M. S. Allili and D. Ziou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-34250211807&doi=10.1007%2fs11760-007-0021-8&partnerID=40&md5=a92c80484411a508c57587d27b7d357b},
doi = {10.1007/s11760-007-0021-8},
issn = {18631711 (ISSN)},
year = {2007},
date = {2007-01-01},
journal = {Signal, Image and Video Processing},
volume = {1},
number = {2},
pages = {101–117},
abstract = {In this paper, we propose a robust model for tracking in video sequences with non-static backgrounds. The object boundaries are tracked on each frame of the sequence by minimizing an energy functional that combines region, boundary and shape information. The region information is formulated by minimizing the symmetric Kullback-Leibler (KL) distance between the local and global statistics of the objects versus the background. The boundary information is formulated using a color and texture edge map of the video frames. The shape information is calculated adaptively to the dynamic of the moving objects and permits tracking that is robust to background distractions and occlusions. Minimization of the energy functional is implemented using the level set method. We show the effectiveness of the approach for object tracking in color, infrared (IR), and fused color-infrared sequences. © Springer-Verlag London Limited 2007.},
keywords = {Color and infrared, KL-distance, Level sets, Mixture models, Region/Boundary/Shape information, Tracking},
pubstate = {published},
tppubtype = {article}
}
Renaud, P.; Bouchard, S.; Proulx, R.
Behavioral avoidance dynamics in the presence of a virtual spider Article de journal
Dans: IEEE Transactions on Information Technology in Biomedicine, vol. 6, no 3 SPEC., p. 235–243, 2002, ISSN: 10897771 (ISSN).
Résumé | Liens | BibTeX | Étiquettes: adult, Affordance, animal, Animals, Anxiety, Anxiety disorder, article, Behavioral avoidance, Biomedical engineering, Chronic Disease, clinical trial, Computer Graphics, computer interface, Computer Simulation, controlled clinical trial, controlled study, Environment, Fear, female, Fractal dynamics, Fractals, head movement, Head movements, hospitalization, human, Human computer interaction, Humans, Interactive computer graphics, male, Motion Perception, movement perception, pathophysiology, Patient treatment, phobia, Phobic Disorders, Presence, psychological aspect, Psychomotor Performance, Psychophysiology, reproducibility, Reproducibility of Results, Self Assessment (Psychology), self evaluation, Sensitivity and Specificity, Severity of Illness Index, spider, Spiders, Tracking, treatment outcome, User-Computer Interface, virtual reality
@article{renaud_behavioral_2002,
title = {Behavioral avoidance dynamics in the presence of a virtual spider},
author = {P. Renaud and S. Bouchard and R. Proulx},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036708418&doi=10.1109%2fTITB.2002.802381&partnerID=40&md5=4dd582cb233d8396f7795cf93cb1b984},
doi = {10.1109/TITB.2002.802381},
issn = {10897771 (ISSN)},
year = {2002},
date = {2002-01-01},
journal = {IEEE Transactions on Information Technology in Biomedicine},
volume = {6},
number = {3 SPEC.},
pages = {235–243},
abstract = {Tracking behavior with a virtual spider and a neutral target is compared in fearful and nonfearful subjects. Head-tracking in virtual environments appears to be a scale-free behavior with long-range fractal-like patterns. Moreover, these fractal patterns change according to what the target affords the tracker and the level of behavioral avoidance manifested by the subjects. Results are interpreted in terms of ecological psychology and nonlinear dynamics, and implications for virtual reality (VR) psychology are outlined.},
keywords = {adult, Affordance, animal, Animals, Anxiety, Anxiety disorder, article, Behavioral avoidance, Biomedical engineering, Chronic Disease, clinical trial, Computer Graphics, computer interface, Computer Simulation, controlled clinical trial, controlled study, Environment, Fear, female, Fractal dynamics, Fractals, head movement, Head movements, hospitalization, human, Human computer interaction, Humans, Interactive computer graphics, male, Motion Perception, movement perception, pathophysiology, Patient treatment, phobia, Phobic Disorders, Presence, psychological aspect, Psychomotor Performance, Psychophysiology, reproducibility, Reproducibility of Results, Self Assessment (Psychology), self evaluation, Sensitivity and Specificity, Severity of Illness Index, spider, Spiders, Tracking, treatment outcome, User-Computer Interface, virtual reality},
pubstate = {published},
tppubtype = {article}
}