Block based motion estimation model using CNN with representative point matching algorithm for object tracking in videos

C.K. Suryaraj; M.R. Geetha

doi:10.1016/j.eswa.2024.124407

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Block based motion estimation model using CNN with representative point matching algorithm for object tracking in videos

C.K. Suryaraj M.R. Geetha

Year: 2024 Journal: Expert Systems with Applications Vol: 255 Pages: 124407-124407 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2024.124407

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Keywords:

Computer science Block (permutation group theory) Artificial intelligence Computer vision Tracking (education) Motion estimation Video tracking Object (grammar) Matching (statistics) Point (geometry) Motion (physics) Algorithm Pattern recognition (psychology) Mathematics

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Cited By

2.65

FWCI (Field Weighted Citation Impact)

Refs

0.83

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Block based motion estimation model using CNN with representative point matching algorithm for object tracking in videos

Metrics

Citation History

Topics

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