• Optoelectronic Technology
  • Vol. 43, Issue 3, 276 (2023)
Yan FENG1 and Lei LU2
Author Affiliations
  • 1Xi 'an Polytechnic University, Xi'an 70048, CHN
  • 2School of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an 710049, CHN
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    DOI: 10.19453/j.cnki.1005-488x.2023.03.015 Cite this Article
    Yan FENG, Lei LU. A Violation Behavior Detection Algorithm Based on Yolov5 and Dilb for Online Video Surveillance[J]. Optoelectronic Technology, 2023, 43(3): 276 Copy Citation Text show less
    Algorithm flow diagram
    Fig. 1. Algorithm flow diagram
    Improved ShuffleNetV2 with two blocks
    Fig. 2. Improved ShuffleNetV2 with two blocks
    Flow diagram of proxy test behavior detection
    Fig. 3. Flow diagram of proxy test behavior detection
    Schematic of lip area modeling
    Fig. 4. Schematic of lip area modeling
    Schematic of head pose modeling
    Fig. 5. Schematic of head pose modeling
    Annotation process and partial images
    Fig. 6. Annotation process and partial images
    Examination results for unrelated personnel and items
    Fig. 7. Examination results for unrelated personnel and items
    Test results of candidate substitution
    Fig. 8. Test results of candidate substitution
    Test results of candidates' speaking detection
    Fig. 9. Test results of candidates' speaking detection
    Test results of examinees' attention drift detection
    Fig. 10. Test results of examinees' attention drift detection
    方法mAP@0.5FPS(帧/s)
    YOLOv464.122.8
    YOLOv566.337.6
    Faster R‑CNN67.213.1
    SSD55.715.3
    FS‑YOLOv5(ours)69.636.3
    Table 1. Performance comparison of algorithms
    Yan FENG, Lei LU. A Violation Behavior Detection Algorithm Based on Yolov5 and Dilb for Online Video Surveillance[J]. Optoelectronic Technology, 2023, 43(3): 276
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