INVESTIGATION OF THE FUNDAMENTAL TECHNOLOGIES FOR  PEDESTRIAN DETECTION UTILISING DEEP LEARNING

CHEN HUIHONG , VIVEKANANDAM BALASUBRAMANIAM

INVESTIGATION OF THE FUNDAMENTAL TECHNOLOGIES FOR PEDESTRIAN DETECTION UTILISING DEEP LEARNING

Authors

CHEN HUIHONG , VIVEKANANDAM BALASUBRAMANIAM

Keywords:

Pedestrian Detection, Deep learning, Intelligent System, Computer Vision.

Abstract

Autonomous vehicles, intelligent surveillance, as well as smart city systems all rely onpedestrian identification, which is a crucial feature of computer vision. It is still very difficultto reliably and accurately identify pedestrians

References

Abdul HK, Mohsin M, Ludger van E, Andreas D (2022) F2DNet: fast focal detection network for pedestrian detection. ARXIV

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Published

2023-10-20

How to Cite

CHEN HUIHONG , VIVEKANANDAM BALASUBRAMANIAM. (2023). INVESTIGATION OF THE FUNDAMENTAL TECHNOLOGIES FOR PEDESTRIAN DETECTION UTILISING DEEP LEARNING. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1975–1990. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3856