Noscope: optimizing neural network queries over video at scale

D Kang, J Emmons, F Abuzaid, P Bailis… - arxiv preprint arxiv …, 2017 - arxiv.org
Recent advances in computer vision-in the form of deep neural networks-have made it
possible to query increasing volumes of video data with high accuracy. However, neural …

An embedded computer-vision system for multi-object detection in traffic surveillance

A Mhalla, T Chateau, S Gazzah… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Intelligent traffic systems for traffic surveillance and monitoring have become a topic of great
interest to some cities in the world. Generally, the existing traffic surveillance systems are …

Exploiting target data to learn deep convolutional networks for scene-adapted human detection

S Wu, S Wang, R Laganiere, C Liu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The difference between sample distributions of public data sets and specific scenes can be
very significant. As a result, the deployment of generic human detectors in real-world scenes …

Semi-supervised domain adaptation for pedestrian detection in video surveillance based on maximum independence assumption

G Shojaei, F Razzazi - International Journal of Multimedia Information …, 2019 - Springer
In this paper, two domain adaptation approaches are utilized in a pedestrian detection
application that is one of the most interesting and widely used fields in machine vision. In …

Apprentissage semi-supervisé pour la détection multi-objets dans des séquences vidéos: Application à l'analyse de flux urbains

H Maâmatou - 2017 - theses.hal.science
Depuis les années 2000, un progrès significatif est enregistré dans les travaux de recherche
qui proposent l'apprentissage de détecteurs d'objets sur des grandes bases de données …

Multi-object detection and tracking in video sequences

A Mhalla - 2018 - theses.hal.science
The work developed in this PhD thesis is focused on video sequence analysis. Thelatter
consists of object detection, categorization and tracking. The development ofreliable …

Erratum to: Sequential Monte Carlo filter based on multiple strategies for a scene specialization classifier.

H Maâmatou, T Chateau… - EURASIP J …, 2017 - jivp-eurasipjournals.springeropen …
Erratum to: Sequential Monte Carlo filter based on multiple strategies for a scene
specialization classifier Page 1 ERRATUM Open Access Erratum to: Sequential Monte …

[CITAS][C] NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale.

D Kang, J Emmons, F Abuzaid, P Bailis, M Zaharia - Proc. VLDB Endow., 2017