Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2021-2022).

The goal of this project is to design new methods to detect and classify road users on streets and parking lots.x000D
By classification of road users, it is meant to distinguish first bikes from pedestrians and motorized vehicles,x000D
and then to distinguish motorized vehicles into subcategories like cars, trucks, buses, ambulances, etc. Findingx000D
a solution to this problem will allow our industrial partner Genetec to enhance the capabilities of their products.x000D
For instance, knowing the category of a vehicle allows verifying if a license plate or an access control devicex000D
has been stolen or tampered with, or it can be used to restrict access to an area to certain types of road users. Tox000D
solve this problem, our approach will rely on deep learning techniques to learn to detect and classify road users.x000D
We will use a hierarchy of Deep Neural Networks (DNNs) to go from a coarse categorization of road users to ax000D
finer one to obtain more specific categories. The knowledge gained from the design of this detection andx000D
classification method will be transferred to our industrial partner Genetec. This will allow Genetec to remainx000D
competitive in the fast evolving video surveillance market. Being able to categorize road users will allowx000D
Genetec to develop better tools to monitor traffic and advance the capabilities of their products. As well, bothx000D
Prs Bilodeau and Saunier are working on applications of computer vision to transportation and in particular forx000D
traffic data collection and road safety analysis. Road user classification has not been addressed extensively inx000D
the scientific literature. This work will also benefit the computer vision field for finer grain object detectionx000D
tasks. Finally, this project will train one PhD student in the machine learning and data science fields with skillsx000D
that are in high demand in the Canadian industry.