A Review on Face Recognition and Video Databases
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: Each And Every Face Databases Have Its Own Limitations And Description To Test The Performance Of Face Recognition Technique. Even Though, Current Machine Recognition Systems Have Approached To Certain Level Of Recognition Rate. Their Success Is Limited By The Conditions Imposed By Many Real Applications And Constraint Imposed On Databases Such As Recognition Of Faces Acquired In An Outdoor Environment With Changes Of Illumination And Or Poses Remains A Largely Unsolved Problem. In View Of These This Paper Discusses Most Of The Video Databases And Face Recognition Methods. The Performance Of The Existing Methods On Video Datasets, NRC-IIT Video Data Set , The Honda/UCSD Video Data Set ,Choke Point And Mcgill Face Dataset Are Studied, Compare Their Performance In Terms Of Recognition Rate And Conclusion Reveals Future Development Of The Work.
Authors and Affiliations
Sandeep Saxena , B Mohd Jabarullah , Dr. Mansaf Alam
Keywords
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