An Evaluation of Background Subtraction for Object Detection Vis-a-Vis Mitigating Challenging Scenarios

An Evaluation of Background Subtraction for Object Detection Vis-a-Vis Mitigating Challenging Scenarios

Background subtraction is a popular technique for detecting objects moving across a fixed camera view. The performance of this paradigm is influenced by various challenges, such as object relocation, illumination change, cast shadows, waving background, camera shake, bootstrapping, camouflage, and s...

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Bibliographic Details
Main Authors: Suman Kumar Choudhury, Pankaj Kumar Sa, Sambit Bakshi, Banshidhar Majhi
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Video surveillance
object detection
background subtraction
background modeling
foreground extraction
background maintenance
Online Access:https://ieeexplore.ieee.org/document/7565562/

Internet

https://ieeexplore.ieee.org/document/7565562/

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