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20122026
most citedDeep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait

288 citations · 453 across the 42 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CV2018★ 1 cited

Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector

Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier +1

Multiple object tracking (MOT) in urban traffic aims to produce the trajectories of the different road users that move across the field of view with different directions and speeds…

cs.CV2018

Online Mutual Foreground Segmentation for Multispectral Stereo Videos

Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau, Robert Bergevin

The segmentation of video sequences into foreground and background regions is a low-level process commonly used in video content analysis and smart surveillance applications. Using…

cs.CV2018

Multi-Branch Siamese Networks with Online Selection for Object Tracking

Zhenxi Li, Guillaume-Alexandre Bilodeau, Wassim Bouachir

In this paper, we propose a robust object tracking algorithm based on a branch selection mechanism to choose the most efficient object representations from multi-branch siamese net…

cs.CV2018★ 2 cited

Road User Abnormal Trajectory Detection using a Deep Autoencoder

Pankaj Raj Roy, Guillaume-Alexandre Bilodeau

In this paper, we focus on the development of a method that detects abnormal trajectories of road users at traffic intersections. The main difficulty with this is the fact that the…

cs.CV2018★ 9 cited

Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing

David-Alexandre Beaupré, Guillaume-Alexandre Bilodeau, Nicolas Saunier

In this paper, we present a new method for detecting road users in an urban environment which leads to an improvement in multiple object tracking. Our method takes as an input a fo…

cs.CV2018

From Superpixel to Human Shape Modelling for Carried Object Detection

Farnoosh Ghadiri, Robert Bergevin, Guillaume-Alexandre Bilodeau

Detecting carried objects is one of the requirements for developing systems to reason about activities involving people and objects. We present an approach to detect carried object…

cs.CV2018★ 37 cited

Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person

Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau

The performance of still-to-video FR systems can decline significantly because faces captured in unconstrained operational domain (OD) over multiple video cameras have a different…