Vehicle and pedestrian detection method based on improved YOLOv4-tiny

Jing Li; Zhengjun Xu; Liang Xu

doi:10.1007/s11801-023-3078-x

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Vehicle and pedestrian detection method based on improved YOLOv4-tiny

Jing Li Zhengjun Xu Liang Xu

Year: 2023 Journal: Optoelectronics Letters Vol: 19 (10)Pages: 623-628 Publisher: Springer Science+Business Media

DOI: 10.1007/s11801-023-3078-x

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Keywords:

Pedestrian detection Computer science Block (permutation group theory) Feature (linguistics) Artificial intelligence Superposition principle Feature extraction Pattern recognition (psychology) Convolutional neural network Object detection Pedestrian Mathematics Engineering

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Data and IoT Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Vehicle and pedestrian detection method based on improved YOLOv4-tiny

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