MOVING OBJECT DETECTION USING DISCRETE COSINE TRANSFORM BASED BACKGROUND SUBTRACTION

MOVING OBJECT DETECTION USING DISCRETE COSINE TRANSFORM BASED BACKGROUND SUBTRACTION

This article addresses the problem of visual detection of moving objects in bad weather conditions. A multi-frame semantic information-based background subtraction scheme is proposed here. The camera is static, hence, the viewpoint is assumed to be fixed. It exploits the spatial as well as tempora...

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Bibliographic Details
Main Authors: Sharmistha Puhan, Sambit Kumar Mishra, Deepak Kumar Rout
Format: Article
Language:English
Published: Institute of Mechanics of Continua and Mathematical Sciences 2025-04-01
Series:Journal of Mechanics of Continua and Mathematical Sciences
Subjects:
cosine transform
dct
bad weather video
background subtraction
five-frame difference
multi-frame feature space
object detection
visual surveillance
Online Access:https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/04/14195922/jmcms-2503035-MOVING-OBJECT-DETECTION-SP.pdf
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https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/04/14195922/jmcms-2503035-MOVING-OBJECT-DETECTION-SP.pdf

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