The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Tracking of Person Walking Pattern and Trajectory Following with 2D Laser Scanner

레이저 스케너 센서기반 보행패턴 인식 및 경로추적

  • Jin, Taeseok (Dept. of Mechatronics Engineering, Dongseo University)
  • Received : 2018.05.25
  • Accepted : 2018.06.24
  • Published : 2018.07.01
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Abstract

We propose laser scanner sensor system based walking pattern and tracking method of multiple human. This system uses laser scanners sensors and is applicable to wide and crowded area such as hospital and medical care center. The primary objective of this research is to promote the development of robust, repeatable and transferable software for security system that can automatically detect, track and follow people in public area. We developed the method of human identification for this system. Our method is following: 1. Best-walking pattern data are obtained by the help of human position and direction data obtained by laser scanners. 2. Human identification is conducted by calculating the correlation between the step length of walking human. It becomes possible to conduct human identification even in crowded scenes by estimating the movements of waling human' feet are periodic. In the experiment in the station, some effectiveness of this method became clear.

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References

  1. D.M., Gavrila, "The analysis of human motion and its application for visual surveillance", in proceeding of the 2nd International workshop on visual surveillance, 1999.
  2. P. Perez, C. Hue, J. Vermaak, M. Gangnet, "Color-Based Probabilistic Tracking", Proc. of European Conference on Computer Vision, Copenhagen, 27 May-2 June 2002.
  3. Zhao, H. and Shibasaki, R., "A Novel System for Tracking Pedestrians using Multiple Single-Row Laser Range Scanners", IEEE Transactions on Systems, Man and Cybernetics-part A, vol. 35, no. 2, pp. 283-291, 2005. https://doi.org/10.1109/TSMCA.2005.843396
  4. Yang, J., Xu, Y. and Chen, C. S., "Human action learning via hidden Markov model", IEEE Transactions on Systems, Man and Cybernetics-part A, vol. 27, no. 1, pp. 34-44, 1997. https://doi.org/10.1109/3468.553220
  5. Chan, M. T., Hoogs, A., Schmiederer, J. and Peterson, M.: Detecting Rare Events in Video Using Semantic Primitives with HMM, in Proceedings of the 17th International Conference on Pattern Recognition (ICPR), vol. 4, pp. 150-154, 2004.
  6. Gao, J., Hauptmann, A. G., Bharucha, A. and Wactlar, H. D., "Dining Activity Analysis Using a Hidden Markov Model", in Proceedings of the 17th International Conference on Pattern Recognition (ICPR), vol. 2, pp. 915-918, 2004.
  7. Angus L., Joelle P., Nicolas O., and Hong Z., "Person tracking and following with 2d laser scanners," In International Conference on Robotics and Automation (ICRA), pp.726-733, 2015.
  8. Peter M., Bertrand D., and James U., "Multi-sensor identity tracking with event graphs," In International Conference on Robotics and Automation (ICRA), pp. 4742-4748, 2013.
  9. Jain, A. K., Duin, R. P. W. and Mao, J. "Statistical Pattern Recognition: A Review", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 4-37, 2000. https://doi.org/10.1109/34.824819
  10. Taeseok Jin, and Hideki Hashimoto, "3D walking human detection and tracking based on the IMPRESARIO Framework," International Journal of Fuzzy Logic and Intelligent Systems, vol. 8, no. 3, pp. 163-169, 2008. https://doi.org/10.5391/IJFIS.2008.8.3.163
  11. Zhao, T., Nevatia, R. and Wu, B. "Segmentation and tracking of multiple humans in crowded environments", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 7, pp. 1198-1211, 2008. https://doi.org/10.1109/TPAMI.2007.70770
  12. Shao, X., Zhao, H., Nakamura, K., Shibasaki, R., Zhang, R. and Liu, Z., "Analyzing Pedestrian's Walking Pattern Using Single-Row Laser Range Scanners", in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC2006), vol. 2, pp. 1202-1207, 2006.