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Guillaume-Alexandre Bilodeau
B.Sc.A., M.Sc.A., Ph.D. (Laval)

Research interests and affiliations

Research interests

The general objective of my research is to design methods and algorithms to interpret the action occurring in a scene. The informations of interest are the interactions between humans and the interactions between humans and the objects in their environment. The use of visible cameras allows identifying some interactions in some circumstances, but in the case of similar colors between the scene and human in it, the analysis becomes quite difficult. I am proposing to use infrared cameras to introduce thermal information in the analysis of the scene.

My research projects thus aim to integrate information from visible and infrared cameras to improve the detection of humans and objects, along with their interactions.

A second topic of interest of professor Bilodeau is tracking with (pan-tilt-zoom) PTZ cameras. The interest in using such a camera is a larger coverage of a scene with a single camera. Controlling the camera to perform accurate tracking is the challenge that we are undertaking.

Finally, professor Bilodeau is also interested in the contribution of infrared cameras to medical experiments. Infrared, more specifically thermography, allows obtaining temperature measurements in real-time of the body of a subject. Our project aims to improve the measurements.

Expertise type(s) (NSERC subjects)
  • 2603 Computer vision
  • 2604 Intelligent systems applications
  • 2605 Pattern analysis and machine intelligence
  • 2708 Image and video processing

Publications

Recent publications
Conference paper
Beaupre, D.-A., Bilodeau, G.-A. & Saunier, N. (2018). Improving multiple object tracking with optical flow and edge preprocessing. Paper presented at the 1st International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018), Montréal, Québec. Retrieved from http://arxiv.org/abs/1801.09646
Journal article
Derue, F.-X., Bilodeau, G.-A. & Bergevin, R. (2018). SPiKeS: Superpixel-keypoints structure for robust visual tracking. Machine Vision and Applications, 29(1), 175-186. Retrieved from https://doi.org/10.1007/s00138-017-0884-9
Conference paper
Tang, Y., Bilodeau, G.-A. & Granger, E. (2018). Tracking using numerous anchor points. Paper presented at the International Conference on Pattern Recognition and Artificial Intelligence, Montreal, Qc, Canada.
Journal article
Chakravorty, T., Bilodeau, G.-A. & Granger, E. (2018). Tracking using numerous anchor points. Machine Vision and Applications, 29(2), 247-261. Retrieved from https://doi.org/10.1007/s00138-017-0898-3

Biography

Guillaume-Alexandre Bilodeau received the B.Sc.A. degree in computer engineering, his M.S. and Ph.D. degree in electrical engineering from Université Laval in Canada, in 1997, 1999 and 2004, respectively. In 2004, he was appointed Assistant Professor at École Polytechnique de Montréal, and Associate Professor in 2011. Since 2014, he is a Full Professor at the same institution. In 2002, he received an Honorable mention for the Twenty-ninth annual Pattern Recognition Society award for his paper entitled "Part segmentation of objets in real images" in the journal Pattern Recognition. Since 2006, he is a member of the steering commitee and of the thematic committee of the REPARTI center. In 2008, he received the best vision paper award at the Canadian Conference on Robot Vision (CRV).  In 2011, he was the general chair of IEEE Symposium on Robotic and Sensor Environments. From june to november 2012, Dr. Bilodeau was Visiting Professor at the School of Electrical Engineering and Computer Science at University of Ottawa. In 2014, he was local arrangements chair for AI/GI/CRV.

His research interests encompass image and video processing, video surveillance, object recognition, content-based image retrieval, and medical applications of computer vision.

Dr. Bilodeau is a member of the Province of Quebec's Association of Professional Engineers (OIQ) and of the Institute of Electrical and Electronics Engineers (IEEE)

Teaching

INF8770 Technologies multimédias

INF6804 Vision par ordinateur

Supervision at Polytechnique

COMPLETED

  • Ph.D. Thesis (7)

    • St-Charles, P.-L. (2018). Segmentation mutuelle d'objets d'intérêt dans des séquences d'images stéréo multispectrales (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3070/
    • Chakravorty, T. (2017). Robust face tracking in video sequences (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2768/
    • Riahi, D. (2016). Suivi multi-objets par la détection : application à la vidéo surveillance (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2326/
    • Bouachir, W. (2014). Suivi d'objets par caractéristiques locales encodant la structure (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1583
    • Farah, R. (2013). Computer Vision Tools for Rodent Monitoring (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1198
    • Torabi, A. (2012). Video Registration for Multimodal Surveillance Systems (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/817
    • Darvish Zadeh Varcheie, P. (2010). Low and Variable Frame Rate Face Tracking Using an IP PTZ Camera (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/318
  • Master's Thesis (9)

    • Derue, F.-X. (2016). Suivi de cible basé sur un modèle de superpixels et points clés (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2119/
    • Blouin, F. (2014). Conception d'un système de vision par ordinateur pour la détection automatique d'inventaire médical (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1506
    • Jodoin, J.-P. (2013). Suivi multiobjet de trafic mixte urbain (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1267
    • Morin, F. (2009). Recalage automatique de séquences vidéo infrarouge et visible basé sur les trajectoires des objets en mouvement (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/143
    • Ammouri, S. (2008). Détection et suivi du visage et des mains appliqués à la surveillance de prise de médicaments (Master's Thesis, École Polytechnique de Montréal).
    • St-Onge, P.-L. (2007). Appariement de points caractéristiques trouvés à même les régions d'avant-plan de vidéos à spectres visible et infrarouge (Master's Thesis, École Polytechnique de Montréal).
    • Torabi, A. (2007). An algorithm for multiple object tracking (Master's Thesis, École Polytechnique de Montréal).
    • Bourezak, R.M.E.-K. (2006). Détection et suivi d'objets en mouvement dans une scène filmée par une carméra fixe (Master's Thesis, École Polytechnique de Montréal).
    • Shu, Y.Y. (2005). Segmentation and tracking of cavity area in thoracoscopic video sequences (Master's Thesis, École Polytechnique de Montréal).