Co-occurrence spatial–temporal model for adaptive background initialization in high-dynamic complex scenes

An adaptive background modeling for foreground detection using spatio-temporal features

(2020) Subrata Kumar Mohanty et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Foreground detection based on co-occurrence background model with hypothesis on degradation modification in dynamic scenes

(2019) Wenjun Zhou et al.   SIGNAL PROCESSING

Active Perception for Foreground Segmentation: An RGB-D Data-Based Background Modeling Method

(2019) Yuxiang Sun et al.   IEEE Transactions on Automation Science and Engineering

Robust background generation based on an effective frames selection method and an efficient background estimation procedure (FSBE)

(2019) Achraf Djerida et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Unsupervised deep context prediction for background estimation and foreground segmentation

(2018) Maryam Sultana et al.   MACHINE VISION AND APPLICATIONS

Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering

(2017) Sajid Javed et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization

(2017) Pierre-Marc Jodoin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Background estimation by weightless neural networks

(2017) Massimo De Gregorio et al.   PATTERN RECOGNITION LETTERS

Matrix and tensor completion algorithms for background model initialization: A comparative evaluation

(2017) Andrews Sobral et al.   PATTERN RECOGNITION LETTERS

LaBGen: A method based on motion detection for generating the background of a scene

(2017) Benjamin Laugraud et al.   PATTERN RECOGNITION LETTERS

Scene background initialization: A taxonomy

(2017) Thierry Bouwmans et al.   PATTERN RECOGNITION LETTERS

Rejection based multipath reconstruction for background estimation in video sequences with stationary objects

(2016) Diego Ortego et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Co-occurrence probability-based pixel pairs background model for robust object detection in dynamic scenes

(2015) Dong Liang et al.   PATTERN RECOGNITION

A modified Gaussian mixture background model via spatiotemporal distribution with shadow detection

(2015) Haiying Xia et al.   Signal Image and Video Processing

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Database and Evaluation Methodology for Optical Flow

(2010) Simon Baker et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Learning a Scene Background Model via Classification

(2009) Horng-Horng Lin et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING