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A Pedestrian-Pedestrian and Pedestrian-Vehicle Interaction Motion Model for Pedestrians Tracking

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Advances in Visual Computing (ISVC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8887))

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Abstract

We propose a pedestrian-pedestrian and pedestrian-vehicle interaction motion model for predicting the motion of the pedestrians and tracking pedestrians in traffic scene mixed with cars. Pedestrians’ motion in such scenes are often complex and highly correlated with both pedestrians and vehicles nearby. What’s more, vehicles and pedestrians running together will bring in long occlusions, what will make great challenge for tracking objects in long period. An interaction motion model combined with a path model is proposed to handle the sudden motion change and long occlusions. Experiments on real traffic scene sequences show the effectiveness of our method.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, P.R. China

    Hao Sheng, Shukai Liu, Hengshan Ji, Jiahui Chen & Zhang Xiong

  2. Wenzhou Research Institute of Beihang University, Beihang University, Wenzhou, P.R. China

    Shukai Liu

  3. Shenzhen Key Laboratory of Data Vitalization, Research Institute in Shenzhen, Beihang University, Shenzhen, P.R. China

    Hao Sheng

Authors
  1. Hao Sheng
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  2. Shukai Liu
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  3. Hengshan Ji
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  4. Jiahui Chen
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  5. Zhang Xiong
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada at Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The University of Texas at Dallas, 75080, Richardson, TX, USA

    Ryan McMahan

  6. NextGen Interactions, 27604, Raleigh, NC, USA

    Jason Jerald

  7. Indiana University, 46202, Indianapolis, IN, USA

    Hui Zhang

  8. Microsoft Research, 1 Microsoft Way, 98052, Redmond, WA, USA

    Steven M. Drucker

  9. University of Delaware, 19716-2712, Newark, DE, USA

    Chandra Kambhamettu

  10. Intel Corp., 95054, Santa Clara, CA, USA

    Maha El Choubassi

  11. Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, 77004, Houston, TX, USA

    Zhigang Deng

  12. NVIDIA, 34788, Leesburg, FL, USA

    Mark Carlson

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© 2014 Springer International Publishing Switzerland

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Sheng, H., Liu, S., Ji, H., Chen, J., Xiong, Z. (2014). A Pedestrian-Pedestrian and Pedestrian-Vehicle Interaction Motion Model for Pedestrians Tracking. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8887. Springer, Cham. https://doi.org/10.1007/978-3-319-14249-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-14249-4_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14248-7

  • Online ISBN: 978-3-319-14249-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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