A Comprehensive Survey of Video Datasets for Background Subtraction

A Comprehensive Survey of Video Datasets for Background Subtraction

Background subtraction is an effective method of choice when it comes to detection of moving objects in videos and has been recognized as a breakthrough for the wide range of applications of intelligent video analytics (IVA). In recent years, a number of video datasets intended for background subtra...

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Bibliographic Details
Main Authors: Rudrika Kalsotra, Sakshi Arora
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Background model
background subtraction
challenges
datasets
deep neural networks
foreground
Online Access:https://ieeexplore.ieee.org/document/8706931/

Internet

https://ieeexplore.ieee.org/document/8706931/

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