no code implementations • 15 Aug 2023 • Mohammad Baradaran, Robert Bergevin
Inspired by the abilities of the future frame prediction proxy-task, we introduce the task of future video prediction from a single frame, as a novel proxy-task for video anomaly detection.
1 code implementation • 22 Nov 2022 • Fatemeh Nouri, Robert Bergevin
In this paper, we propose the $\beta$-Multivariational Autoencoder ($\beta$MVAE) to learn a Multivariate Gaussian prior from video frames for use as part of a single object-tracking in form of a decision-making process.
no code implementations • 14 Oct 2022 • Mohammad Baradaran, Robert Bergevin
Our qualitative results show that the proposed method considers the object class effectively and learns motion with attention to the aforementioned important factors which results in a precise motion modeling and a better motion anomaly detection.
no code implementations • 3 May 2022 • 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.
no code implementations • 2 Nov 2021 • Mohammad Baradaran, Robert Bergevin
This paper introduces the researchers of the field to a new perspective and reviews the recent deep-learning based semi-supervised video anomaly detection approaches, based on a common strategy they use for anomaly detection.
Semi-supervised Anomaly Detection Supervised Anomaly Detection +1
1 code implementation • 8 Sep 2018 • 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.
no code implementations • 10 Jan 2018 • Farnoosh Ghadiri, Robert Bergevin, Guillaume-Alexandre Bilodeau
We present an approach to detect carried objects from a single video frame with a novel method that incorporates features from multiple scales.
no code implementations • 14 Oct 2017 • Farnoosh Ghadiri, Robert Bergevin, Masoud Shafiee
The optic disk is correctly detected in 98% of the images with the mean overlap of 36. 32% in the KHATAM database.
no code implementations • 23 Oct 2016 • François-Xavier Derue, Guillaume-Alexandre Bilodeau, Robert Bergevin
In visual tracking, part-based trackers are attractive since they are robust against occlusion and deformation.
no code implementations • 18 May 2015 • Gengjie Chen, Pierre-Luc St-Charles, Wassim Bouachir, Thomas Joeisseint, Guillaume-Alexandre Bilodeau, Robert Bergevin
Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years.