A GPU‐free real‐time object detection method for apron surveillance video based on quantized MobileNet‐SSD-Reference-Cited by-同舟云学术

A GPU‐free real‐time object detection method for apron surveillance video based on quantized MobileNet‐SSD

Published:2022-03-20 Issue:8 Volume:16 Page:2196-2209
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Lyu Zonglei¹²,Zhang Dan¹²,Luo Jia¹

Affiliation:

1. College of Computer Science and Technology Civil Aviation University Tianjin People's Republic of China

2. Aviation administration of China Civil Aviation University of China Tianjin People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12483

Reference30 articles.

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3. Sandler M. Howard A. Zhu M. Zhmoginov A.&Chen L.C.: Mobilenetv2: Inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Salt Lake City UT USA pp. 4510–4520 (2018)

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