We seek to test the behaviour of candidate detectors for the proposed CASTOR space telescope. We are focused on the response to dim images, the behaviour when resetting portions of an image during exposure, and the behaviour when using multiple reads throughout an exposure to reduce the effect of random noise generated when reading the […]

Pattern analysis is the study of patterns in observed data. One important question in pattern analysis is to find and group similar objects together, e.g., those people with cardiovascular diseases among a set of volunteers willing to donate an organ. This frequently-encountered problem in the domain of data analysis is referred to as classification and […]

This project’s objective is to develop a capability to detect and describe anomalous situations in ground vehicle traffic. Anomalous situations are described as substantial/important changes from the traffic frequently observed for a particular route and/or time. In this sense, anomaly can be quantitatively measured by the degree of predictability of current traffic given historical observations. […]

Current assessment tools for teamwork are based on subjective assessment forms in general, objectively assess teamwork is a challenging task in the operating room. Laparoscopic surgery is a type of surgery that requires the surgeon and assistant to work cohesively, since the surgeon’s view is provided by the assistant consistently maneuvering the camera. We used […]

Decreasing operational costs is a key criterion for organizations that manage compute clusters, such as Amazon, Microsoft, Google, Alibaba, etc. One way to decrease costs it to improve resource utilization in the cluster [13, 14]. Yet, high resource utilization can negatively affect workload performance and thus user satisfaction. Performance degradation happens when workloads running on […]

Automatic casting applications aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. This project will focus on the tasks of re-identify the face of each principal actors when they appear in different scenes of a movie. This is a challenging task because although […]

Les activités de recherche prévues au cours de mon séjour à l’University of South Australia consistent à développer un spectromètre à peignes de fréquences dans l’infrarouge moyen intégré sur une puce optique. Un spectromètre dont la plage spectrale d’opération s’étend jusqu’à 3-5 µm permet la mesure de spectres d’absorption de gaz. Bon nombre de molécules […]

Il est possible avec des techniques spécialisées de rendre des cerveaux de souris transparents permettant ainsi de les analyser pour mieux comprendre leur fonctionnement. Toutefois, ces méthodes demeurent en développement et il est très difficile de perfectionner ces techniques rapidement. Le projet consiste à développer un microscope ayant une vision très large permettant ainsi de […]

Le projet consiste à bâtir un outil permettant d’évaluer les économies que les clients peuvent espérer en mettant en place le procédé et le logiciel proposé par Merinio. Le logiciel est un outil permettant de faire la gestion de la main d’œuvre de façon plus efficace en automatisant des tâches, en éliminant des tâches répétitives […]

Head-mounted displays (HMDs) allow a convenient delivery of visualized data to the user. HMDs in the form of glasses and goggles (otherwise known as smart glasses and goggles), such as Vuzix Blade and Epson Moverio [1-3], have been introduced but the public acceptance of these devices have been rather lackluster. Part of the sluggish acceptance […]

Video analytics is an active fields of research, where state-of-the-art systems rely on a variety of computer vision and machine learning techniques for accurate modeling and recognition from large-scale video datasets. Person re-identification is a key problem found in numerous application areas, e.g., video surveillance, summarization, and sports analysis, and seeks to match people across […]

Video analytics is an active fields of research, where state-of-the-art systems rely on a variety of computer vision and machine learning techniques for accurate modeling and recognition from large-scale video datasets. Person re-identification is a key problem found in numerous application areas, e.g., video surveillance, summarization, and sports analysis, and seeks to match people across […]