Houssam Salmane

Orcid: 0000-0002-0919-7482

Affiliations:
  • Université de technologie de Belfort-Montbéliard, France


According to our database1, Houssam Salmane authored at least 15 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
3D Object Detection for Self-Driving Cars Using Video and LiDAR: An Ablation Study.
Sensors, March, 2023

2020
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera.
Sensors, 2020

2019
Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks.
Sensors, 2019

A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018
BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2016
Motion-based object tracking method for safety at level crossing.
J. Electronic Imaging, 2016

2015
A Video-Analysis-Based Railway-Road Safety System for Detecting Hazard Situations at Level Crossings.
IEEE Trans. Intell. Transp. Syst., 2015

2014
A novel evidence based model for detecting dangerous situations in level crossing environments.
Expert Syst. Appl., 2014

Graph-based semi-supervised learning with Local Binary Patterns for holistic object categorization.
Expert Syst. Appl., 2014

A graph construction method using LBP self-representativeness for outdoor object categorization.
Eng. Appl. Artif. Intell., 2014

Locality Constrained Encoding Graph Construction and Application to Outdoor Object Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Reconstruction et analyse de trajectoires 2D d'objets mobiles par modélisation Markovienne et la théorie de l'évidence à partir de séquences d'images monoculaires - Application à l'évaluation de situations potentiellement dangereuses aux passages à niveau. (Reconstruction and analysis of moving objects trajectoiries from monocular images sequences, using Hidden Markov Model and Dempster-Shafer Theory-Application for evaluating dangerous situations in level crossings).
PhD thesis, 2013

2012
Using Hidden Markov Model and Dempster-Shafer Theory for Evaluating and Detecting Dangerous Situations in Level Crossing Environments.
Proceedings of the Advances in Artificial Intelligence, 2012

Gaussian Propagation Model Based Dense Optical Flow for Objects Tracking.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

2011
Object tracking using Harris corner points based optical flow propagation and Kalman filter.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011


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