3D Model-Based Food Traceability Information Extraction Framework

  • Bo MaoEmail author
  • Jing He
  • Jie Cao
  • Stephen Bigger
  • Todor Vasiljevic
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9208)


In this paper, we propose a 3D model-based food traceability information extraction method for processing video surveillance data. The proposed method first builds a 3D model of the surveillance area. Then, the video cameras are mapped in the 3D model and the coordinate transform functions from the 2D camera coordinates to the 3D model coordinates are calculated. Next, the object detection method is applied to identify the target which is then mapped into the 3D coordinates so that its 3D trajectory can be generated. Finally, we merge multiple trajectories from different cameras to create the complete traceability information for the target object. According to the experimental results, the proposed method can efficiently extract useful traceability information for a video surveillance system.


Target Object Video Surveillance Structure From Motion Video Surveillance System Traceability System 
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.



This work was supported by the National Natural Science Foundation of China (Grant No. 41201486), the National Key Technologies R&D Program of China (Grant No. 2013BAH16F 2015BAD18B02 and 2015BAK36B02), and the project of the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) in the Collaborative Innovation Center of Modern Grain Circulation and Security, Nanjing University of Finance and Economics.


  1. 1.
    Myhre, B., Netland, T., Vevle, G.: The footprint of food-a suggested traceability solution based on EPCIS. In: Proceedings of the 5th European Workshop on RFID Systems and Technologies (RFID SysTech 2009), Bremen, Germany (2009)Google Scholar
  2. 2.
    Angeles, R.: RFID technologies: supply-chain applications and implementation issues. Inf. Syst. Manage. 22(1), 51–65 (2005)CrossRefGoogle Scholar
  3. 3.
    Jones, P., Clarke-Hill, C., Comfort, D., Hilliear, D., Shears, P.: Radio frequency identification and food retailing. UK Br. Food J. 107(6), 356–360 (2005)CrossRefGoogle Scholar
  4. 4.
    Regattieri, A., Gamberi, M., Manzini, R.: Traceability of food products: general framework and experimental evidence. J. Food Eng. 81(2), 347–356 (2007)CrossRefGoogle Scholar
  5. 5.
    Connolly, C.: Sensor trends in processing and packaging of foods and pharmaceuticals. Sens. Rev. 27(2), 103–108 (2007)CrossRefGoogle Scholar
  6. 6.
    Launois, A.: RFID tracking system stores wine bottle data. Accessed 03 June 2015
  7. 7.
    Kumar, P., Reinitz, H.W., Simunovic, J., Sandeep, K.P., Franzon, P.D.: Overview of RFID technology and its applications in the food industry. J. Food Sci. 74, 101–105 (2009)CrossRefGoogle Scholar
  8. 8.
    Frederiksen, M., Osterberg, C., Silberg, S., Larsen, E., Bremmer, A.: Info-fish. Development and validation of an Internet-based traceability system in a Danish domestic fresh fish chain. J. Aquat. Food Prod. Technol. 11(2), 13–34 (2002)CrossRefGoogle Scholar
  9. 9.
    Seino, K., Kuwabara, S., Mikami, S., Takahashi, Y., Yoshikawa, M., Narumi, H., Koganezaki, K., Wakabayashi, T., Nagano, A.: Development of the traceability system which secures the safety of fishery products using the QR Code and a digital signature. In: Proceedings of Marine Technology Society/IEEE Techno-Ocean, Kobe, Japan, vol. 1, pp. 476–481 (2004)Google Scholar
  10. 10.
    Grabacki, S.T., Ronchetti, M., Humphrey, T., Hedgepeth, O.: How it will transform packaging, distribution and handling of Alaska seafood. In: Anchorage, Alaska: International Smoked Seafood Conference Proceedings Alaska Sea Grant College, Program, AK-SG-08-02, pp. 101–106 (2007)Google Scholar
  11. 11.
    Abad, E., Palacio, F., Nuin, M., González de Zárate, A., Juarros, A., Gómez, J.M., Marco, S.: RFID smart tag for traceability and cold chain monitoring of foods: demonstration in an intercontinental fresh fish logistic chain. J. Food Eng. 93, 394–399 (2009)CrossRefGoogle Scholar
  12. 12.
    Tingman, W., Jian, Z., Xiaoshuan, Z.: Fish product quality evaluation based on temperature monitoring in cold chain. Afr. J. Biotechnol. 9(37), 6146–6151 (2010)Google Scholar
  13. 13.
    Thakur, M., Ringsberg, H.: Impacts of using the EPCIS standard in two fish supply chain. In: Food Integrity and Traceability Conference, Belfast, pp. 21–24 (2001)Google Scholar
  14. 14.
    Lin, Q., Jian, Z., Xu, M., Zetian, F., Wei, C., Xiaoshuan, Z.: Developing WSN-based traceability system for recirculation aquaculture. Math. Comput. Model. 53, 2162–2172 (2011)CrossRefGoogle Scholar
  15. 15.
    Gruen, A.: Fundamentals of videogrammetry-a review. Hum. Mov. Sci. 16, 155–187 (1997)CrossRefGoogle Scholar
  16. 16.
    Hiroshi, K., Tomoyuki, Y., Katsushi, I., Masao, S.: Automatic Modeling of a 3D City Map from Real-World Video. Institute of Industrial Science, University of Tokyo, Japan (1999)Google Scholar
  17. 17.
    Clipp, B., Raguram, R., Frahm, J., Welch, G., Pollefeys, M.: A Mobile 3D City Reconstruction System. UNC Chapel Hill, ETH, Zurich (2008)Google Scholar
  18. 18.
    Zhang, G., Jia, J., Wong, T., Bao, H.: Consistent depth maps recovery from a video sequence. IEEE Trans. Pattern Anal. Mach. Intell. 31(6), 974–988 (2009)CrossRefGoogle Scholar
  19. 19.
    Hengel, A., Dick, A., Thormahlen, T., Ward, B., Philip, H, Torr, S.: VideoTrace: rapid interactive scene modelling from video. ACM Trans. Graph. 26(3) (2007)Google Scholar
  20. 20.
    Singh, S., Mandla, V., Jain, K.: Design and calibration of multi camera setup for 3D city modeling. Int. J. Eng. Res. Technol. (IJERT) 2(5) (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Bo Mao
    • 1
    Email author
  • Jing He
    • 1
    • 2
  • Jie Cao
    • 1
  • Stephen Bigger
    • 2
  • Todor Vasiljevic
    • 2
  1. 1.College of Information EngineeringNanjing University of Finance and EconomicNanjingChina
  2. 2.Victoria UniversityMelbourneAustralia

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