Research on the lightweight detection network of abandoned objects in freeway based on video

Wenjun Liu; Jian Li; Yipeng Liu; Chuanyi Ma; Jiabin Xu; Chunyu Liu

doi:10.1117/12.2668510

16 February 2023 Research on the lightweight detection network of abandoned objects in freeway based on video

Wenjun Liu, Jian Li, Yipeng Liu, Chuanyi Ma, Jiabin Xu, Chunyu Liu

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 1259114 (2023) https://doi.org/10.1117/12.2668510
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

In view of the problems of many parameters, complex network and too much memory occupied by the current target detection algorithm based on convolutional neural network in the edge computing equipment, a video based lightweight convolutional neural network YOLOv5-MN3 for Abandoned Objects in Freeway is proposed. Firstly, we reduce the network parameters and the amount of computation by changing the backbone network architecture and replacing the standard convolution with the deep separable convolution. Secondly, the paper enhances the feature extraction ability of neural network by integrating attention mechanism and improves the recall and accuracy of model detection. Finally, through knowledge distillation to further compress the model, we completed the design of lightweight network. The experimental results showed that the average accuracy of YOLOv5-MN3 network can reach 88.2%, which is 38.68% smaller than the original network. Therefore, the network met the requirements of edge computing device deployment.

Citation Download Citation

Wenjun Liu, Jian Li, Yipeng Liu, Chuanyi Ma, Jiabin Xu, and Chunyu Liu "Research on the lightweight detection network of abandoned objects in freeway based on video", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 1259114 (16 February 2023); https://doi.org/10.1117/12.2668510

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Feature extraction

Convolution

Detection and tracking algorithms

Instrument modeling

Roads

Feature fusion

Network architectures

Show All Keywords

Keywords/Phrases

Search In:

Publication Years