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Public Security Video and Image Analysis Challenge: A Retrospective

  • Gengjian Xue
  • Wenfei Wang
  • Jie Shao
  • Chen Liang
  • Jinjing Wu
  • Hui Yang
  • Xiaoteng Zhang
  • Lin Mei
  • Chuanping Hu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10118)

Abstract

The Public Security Video and Image Analysis Challenge (PSVIAC) is a benchmark in object detection and instance search on public security surveillance videos. This challenge is first held in 2016, attracting participation from more than twenty institutions. This paper provides a review of this challenge, including tasks definition, datasets creation, ground truth annotation, and results comparison and analysis. We conclude the paper with some future improvements.

Keywords

Ground Truth Object Detection Object Class Vehicle Detection Occlusion Condition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgement

Our research was sponsored by following projects: Program of Science and Technology Commission of Shanghai Municipality (No. 15530701300, 15XD1520200, 14DZ2252900); 2012 IoT Program of Ministry of Industry and Information Technology of China; Key Project of the Ministry of Public Security (No. 2014JSYJA007); Shanghai Science and Technology Innovation Action Plan (No. 16511101700).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Gengjian Xue
    • 1
  • Wenfei Wang
    • 1
  • Jie Shao
    • 1
  • Chen Liang
    • 1
  • Jinjing Wu
    • 1
  • Hui Yang
    • 1
  • Xiaoteng Zhang
    • 1
  • Lin Mei
    • 1
  • Chuanping Hu
    • 1
  1. 1.The Third Research Institute of the Ministry of Public SecurityShanghaiChina

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