Search Results for author: Hui-Lee Ooi

Found 3 papers, 0 papers with code

Supervised and Unsupervised Detections for Multiple Object Tracking in Traffic Scenes: A Comparative Study

no code implementations30 Mar 2020 Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier

In this paper, we propose a multiple object tracker, called MF-Tracker, that integrates multiple classical features (spatial distances and colours) and modern features (detection labels and re-identification features) in its tracking framework.

Multiple Object Tracking

Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection

no code implementations15 May 2019 Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier

In this paper, we propose to combine detections from background subtraction and from a multiclass object detector for multiple object tracking (MOT) in urban traffic scenes.

Multiple Object Tracking Object Detection +1

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

no code implementations6 Sep 2018 Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier, David-Alexandre Beaupré

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 and that can have varying appearances and sizes.

General Classification Multiple Object Tracking

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