Integration of new moving object segmentation and classification techniques using optimal salp swarm-based feature fusion with linear multi k-SVM classifier

Integration of new moving object segmentation and classification techniques using optimal salp swarm-based feature fusion with linear multi k-SVM classifier

Abstract The feature extraction technique is applied on least enclosing rectangle (LER) of the segmented object to increase the processing speed. The main intuition of this salp swarm algorithm relays on reducing the computational load of the proposed classifier by removing the repetitive and unrela...

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Bibliographic Details
Main Authors: Jemilda G., Baulkani S.
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Image segmentation
Object classification
Feature extraction
Subtraction techniques
Image detection
Online Access:http://link.springer.com/article/10.1186/s13640-020-00511-9

Internet

http://link.springer.com/article/10.1186/s13640-020-00511-9

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