5 citations · 11 across the 4 of their papers we have counts for
6 papers
Object Class Aware Video Anomaly Detection through Image Translation
Mohammad Baradaran, Robert Bergevin
Semi-supervised video anomaly detection (VAD) methods formulate the task of anomaly detection as detection of deviations from the learned normal patterns. Previous works in the fie…
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods
Mohammad Baradaran, Robert Bergevin
Video anomaly detection is one of the hot research topics in computer vision nowadays, as abnormal events contain a high amount of information. Anomalies are one of the main detect…
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…
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…
An adaptive thresholding approach for automatic optic disk segmentation
Farnoosh Ghadiri, Robert Bergevin, Masoud Shafiee
Optic disk segmentation is a prerequisite step in automatic retinal screening systems. In this paper, we propose an algorithm for optic disk segmentation based on a local adaptive…
Reproducible Evaluation of Pan-Tilt-Zoom Tracking
Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir +3
Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years. However, it is very difficult to assess the progress that has been made on t…