Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art

By Shireen Elhabian, Khaled M. El-Sayed, Sumaya H. Ahmed. 2008

449 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b3f04de687000ff1070f2285df9c823281c04464

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey (2016, background): “Thus, despite being computationally expensive and difficult for dynamic modification of topology [115], [127], HMM has attracted a lot of attention for background suppression [21], [142]–[145], [161].”
Traditional and recent approaches in background modeling for foreground detection: An overview (2014, methodology): “The process mainly used is the background subtraction and recent surveys can be found in [86][65][38].”
Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey (2008, methodology): “To take into account these problems of robustness and adaptation, many background modeling methods have been developed and the most recent surveys can be found in [2, 11, 12].”
ViBe: A Universal Background Subtraction Algorithm for Video Sequences (2011, unknown): “According to [6], the metric most widely used in computer vision to assess the performance of a binary classifier is the percentage of correct classification (PCC), which combines all four values”
Evaluation of background subtraction techniques for video surveillance (2011, methodology): “In order to cope with the problem “that the synthetic data will probably not faithfully represent the full range of real data” [9], we use a typical video surveillance scenario, high quality 3D-models and modern raytracing technology with global illumination to account for realistic image synthesis.”
Maximum Margin Criterion (2018, background): “Many background subtraction methods have been developed in video-surveillance to detect moving objects [2][3][4].”
Recent Advanced Statistical Background Modeling for Foreground Detection - A Systematic Survey (2011, methodology): “To take into account these problems, many background modeling methods ha ve been developed [8, 9] and these methods can be clas sified in the following categories:”