Abstract
This paper presents history and evolution of object detection technologies in recent years. Since the introduction of face detection technology by P. Viola and M. Jones in the early 2000s, various object detection methods have been proposed. In particular, deep learning technology has been attracted much attention at IMAGENET Large Scale Visual Recognition Challenge 2012, many excellent object detection methods using deep learning have been proposed. Therefore, this paper focuses on object detection technologies and explains how they have evolved from the past to the present.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of the Japan Society of Applied Electromagnetics and Mechanics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
