Related references
Note: Only part of the references are listed.Improved Change Detector Using Dual-Camera Sensors for Intelligent Surveillance Systems
Ajmal Shahbaz et al.
IEEE SENSORS JOURNAL (2021)
A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation
Thangarajah Akilan et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Maximizing Camera Coverage in Multicamera Surveillance Networks
M. S. Sumi Suresh et al.
IEEE SENSORS JOURNAL (2020)
REAL-TIME SEMANTIC BACKGROUND SUBTRACTION
Anthony Cioppa et al.
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2020)
Camera-trap images segmentation using multi-layer robust principal component analysis
Jhony-Heriberto Giraldo-Zuluaga et al.
VISUAL COMPUTER (2019)
A Gray Relational Analysis-Based Motion Detection Algorithm for Real-World Surveillance Sensor Deployment
Shih-Chia Huang et al.
IEEE SENSORS JOURNAL (2019)
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation
Thierry Bouwmans et al.
NEURAL NETWORKS (2019)
Development of a New Airport Unusual-Weather Detection System With Aircraft Surveillance Information
Shau-Shiun Jan et al.
IEEE SENSORS JOURNAL (2019)
Video Foreground Extraction Using Multi-View Receptive Field and EncoderDecoder DCNN for Traffic and Surveillance Applications
Thangarajah Akilan et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
End-to-End Background Subtraction via a Multi-Scale Spatio-Temporal Model
Yizhong Yang et al.
IEEE ACCESS (2019)
WeSamBE: A Weight-Sample-Based Method for Background Subtraction
Shengqin Jiang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)
A deep convolutional neural network for video sequence background subtraction
Mohammadreza Babaee et al.
PATTERN RECOGNITION (2018)
A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction
Zhihang Hu et al.
IEEE ACCESS (2018)
Combination of Video Change Detection Algorithms by Genetic Programming
Simone Bianco et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2017)
Interactive deep learning method for segmenting moving objects
Yi Wang et al.
PATTERN RECOGNITION LETTERS (2017)
Recent Advances in the Field of Foreground Detection: An Overview
Ajmal Shahbaz et al.
ADVANCED TOPICS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS (2017)
Universal Background Subtraction Using Word Consensus Models
Pierre-Luc St-Charles et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)
SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity
Pierre-Luc St-Charles et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)