net: Global–Local Semantics Coupled Network for scene-specific video foreground extraction with less supervision

Moving objects detection in thermal scene videos using unsupervised Bayesian classifier with bootstrap Gaussian expectation maximization algorithm

(2023) Djoudi Kerfa   MULTIMEDIA TOOLS AND APPLICATIONS

Railroad Crossing Surveillance and Foreground Extraction Network: Weakly Supervised Artificial-Intelligence Approach

(2023) Youzhi Tang et al.   TRANSPORTATION RESEARCH RECORD

A motion-appearance-aware network for object change detection

(2022) Hongrui Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Tensor based completion meets adversarial learning: A win–win solution for change detection on unseen videos

(2022) Ibrahim Kajo et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Adjacent LBP and LTP based background modeling with mixed-mode learning for foreground detection

(2021) Subhabrata Acharya et al.   PATTERN ANALYSIS AND APPLICATIONS

Approaches on crowd counting and density estimation: a review

(2021) Bo Li et al.   PATTERN ANALYSIS AND APPLICATIONS

A novel multi-discriminator deep network for image segmentation

(2021) Yi Wang et al.   APPLIED INTELLIGENCE

Deep learning in multi-object detection and tracking: state of the art

(2021) Sankar K. Pal et al.   APPLIED INTELLIGENCE

Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm

(2021) Ramakant Chandrakar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Pixel matching search algorithm for counting moving vehicle in highway traffic videos

(2020) Harikrishnan P. M. et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection

(2019) Muhammad Sharif et al.   PATTERN ANALYSIS AND APPLICATIONS

Learning multi-scale features for foreground segmentation

(2019) Long Ang Lim et al.   PATTERN ANALYSIS AND APPLICATIONS

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A deep convolutional neural network for video sequence background subtraction

(2018) Mohammadreza Babaee et al.   PATTERN RECOGNITION

Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping

(2018) Juan A. Ramirez-Quintana et al.   APPLIED INTELLIGENCE

Foreground segmentation using convolutional neural networks for multiscale feature encoding

(2018) Long Ang Lim et al.   PATTERN RECOGNITION LETTERS

Challenging situations for background subtraction algorithms

(2018) Silvio R. R. Sanches et al.   APPLIED INTELLIGENCE

End-to-end video background subtraction with 3d convolutional neural networks

(2017) Dimitrios Sakkos et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Interactive deep learning method for segmenting moving objects

(2017) Yi Wang et al.   PATTERN RECOGNITION LETTERS

SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity

(2015) Pierre-Luc St-Charles et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

ViBe: A Universal Background Subtraction Algorithm for Video Sequences

(2010) O Barnich et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Spatiotemporal Saliency in Dynamic Scenes

(2009) V. Mahadevan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE