RESEARCH ON THE KEY TECHNOLOGIES OF PEDESTRIAN  DETECTION BASED ON DEEP LEARNING

CHEN HUIHONG , VIVEKANANDAM BALASUBRAMANIAM

RESEARCH ON THE KEY TECHNOLOGIES OF PEDESTRIAN DETECTION BASED ON DEEP LEARNING

Authors

CHEN HUIHONG , VIVEKANANDAM BALASUBRAMANIAM

Keywords:

Deep learning, Convolutional Neural Networks, Attention-Based Deep Learning, Pedestrian detection.

Abstract

The fast advancement of autonomous vehicles, intelligent intelligence, and smart city serviceshas made pedestrian detection one of the most important study topics in computer vision as well as intelligent systems. Robust feature extraction

References

Carrasco, D.P.; Rashwan, H.A.; García, M.Á.; Puig, D. T-YOLO: Tiny vehicle detection based on YOLO and multi-scale convolutional neural networks. IEEE Access 2021, 11, 22430–22440.

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Published

2023-10-20

How to Cite

CHEN HUIHONG , VIVEKANANDAM BALASUBRAMANIAM. (2023). RESEARCH ON THE KEY TECHNOLOGIES OF PEDESTRIAN DETECTION BASED ON DEEP LEARNING. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1991–2007. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3857