A Multiscale Fusion YOLOV3-Based Model for Human Abnormal Behavior Detection in Special Scenarios-Reference-Cited by-同舟云学术

A Multiscale Fusion YOLOV3-Based Model for Human Abnormal Behavior Detection in Special Scenarios

Published:2023-02 Issue:2 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Li Zhihong¹^ORCID,Zhang Jing²,Wen Yanjie³,Dong Yang⁴,Xu Wangtu⁵

Affiliation:

1. Associate Professor, Dept. of Transportation, Beijing Univ. of Civil Engineering and Architecture, No. 15 YongYuan Rd., Daxing District, Beijing 102616, China (corresponding author). ORCID: .

2. M.S. Student, Dept. of Transportation, Beijing Univ. of Civil Engineering and Architecture, No. 15 YongYuan Rd., Daxing District, Beijing 102616, China.

3. Ph.D. Student, School of Traffic and Transportation Engineering, Central South Univ., No. 932 South Lushan Rd., Changsha, Hunan 410083, China.

4. Project Engineer, TravelSky Technology Limited, Beijing 101300, China; No. 7 Yumin Rd., Shunyi District, Beijing 101300, China.

5. Professor, School of Architecture and Civil Engineering, Xiamen Univ., No. 182 University Rd., Siming District, Xiamen 361005, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7130

Reference50 articles.

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3. Ammar A. A. Koubaa M. Ahmed and A. Saad. 2019. “Aerial images processing for car detection using convolutional neural networks: Comparison between Faster R-CNN and YOLOv3.” Preprint submitted October 16 2019. http://arxiv.org/abs/1910.07234.

4. Benjdira B. T. Khursheed A. Koubaa A. Ammar and K. Ouni. 2019. “Car detection using unmanned aerial vehicles: Comparison between Faster R-CNN and YOLOv3.” In Proc. 1st Int. Conf. on Unmanned Vehicle Systems-Oman (UVS). New York: IEEE.

5. Driver and path detection through time-series classification;Bernardi M. L.;J. Adv. Transp.,2018

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