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Recognition of Texting-While-Walking by Joint Features Based on Arm and Head Poses

  • Fumito Shinmura
  • Yasutomo Kawanishi
  • Daisuke Deguchi
  • Ichiro Ide
  • Hiroshi Murase
  • Hironobu Fujiyoshi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10116)

Abstract

Pedestrians “texting-while-walking” increase the risk of traffic accidents, since they are often not paying attention to their surrounding environments and fails to notice approaching vehicles. Thus, the recognition of texting-while-walking from an in-vehicle camera should be helpful for safety driving assistance. In this paper, we propose a method to recognize a pedestrian texting-while-walking from in-vehicle camera images. The proposed approach focuses on the characteristic relationship between the arm and the head poses observed during a texting-while-walking behavior. In this paper, Pose-Dependent Joint HOG feature is proposed as a novel feature, which uses parts locations as prior knowledge and describes the cooccurrence of the arm and the head poses. To show the effectiveness of the proposed method, we constructed a dataset and evaluated it.

Notes

Acknowledgement

This research is partially supported by the Center of Innovation Program (Nagoya-COI) from Japan Science and Technology Agency and Grant-in-Aid for Scientific Research from The Ministry of Education, Culture, Sports, Science and Technology.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Fumito Shinmura
    • 1
    • 2
  • Yasutomo Kawanishi
    • 3
  • Daisuke Deguchi
    • 4
  • Ichiro Ide
    • 3
  • Hiroshi Murase
    • 3
  • Hironobu Fujiyoshi
    • 5
  1. 1.Institute of Innovation for Future Society (MIRAI)Nagoya UniversityNagoyaJapan
  2. 2.JST/COINagoyaJapan
  3. 3.Graduate School of Information ScienceNagoya UniversityNagoyaJapan
  4. 4.Information Strategy OfficeNagoya UniversityNagoyaJapan
  5. 5.Department of Robotics Science and TechnologyChubu UniversityKasugaiJapan

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