Hi ! I am a 2nd year PhD student at LITIV advised by Guillaume-Alexandre Bilodeau and Nicolas Saunier.
My research interests focus on computer vision, unsupervised learning and transportation.

News :

June 2020 : paper accepted at ICPR 2020

December 2018 : I moved from France to Montréal


Publication

An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes

International Conference on Pattern Recognition (ICPR 2020)
@inproceedings{miah2020empirical,
    author = {Miah, Mehdi and Pepin, Justine and Saunier, Nicolas and Bilodeau, Guillaume-Alexandre},
    title = {An {Empirical} {Analysis} of {Visual} {Features} for {Multiple} {Object} {Tracking} in {Urban} {Scenes}},
    year = {2020},
    booktitle = {International {Conference} on {Pattern} {Recognition} ({ICPR})}
}

Mehdi Miah, Justine Pepin, Nicolas Saunier, Guillaume-Alexandre Bilodeau

Abstract This paper addresses the problem of selecting appearance features for multiple object tracking (MOT) in urban scenes. Over the years, a large number of features has been used for MOT. However, it is not clear whether some of them are better than others. Commonly used features are color histograms, histograms of oriented gradients, deep features from convolutional neural networks and re-identification (ReID) features. In this study, we assess how good these features are at discriminating objects enclosed by a bounding box in urban scene tracking scenarios. Several affinity measures, namely the L1, L2 and the Bhattacharyya distances, Rank-1 counts and the cosine similarity, are also assessed for their impact on the discriminative power of the features. Results on several datasets show that features from ReID networks are the best for discriminating instances from one another regardless of the quality of the detector. If a ReID model is not available, color histograms may be selected if the detector has a good recall and there are few occlusions; otherwise, deep features are more robust to detectors with lower recall.
Conference paper
Project page
Short Video
Long Video
Comments
GitHub
Poster
BibTeX
Demo
arXiv

Education

Polytechnique Montréal

PhD | Computer vision | Montréal, Canada

January 2019 - Now

Université Paris-Saclay

Master 2 | Data science | Malakoff x Paris x Palaiseau, France

September 2016 - October 2017

École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)

Engineering school | Statistics | Malakoff, France

September 2015 - October 2017

Télécom SudParis

Engineering school | Computer science | Évry, France

September 2013 - July 2018

Lycée Saint-Louis

Classes préparatoires aux grandes écoles | Maths and physics | Paris, France

September 2011 - July 2013