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International Conference on Mobile Web and Information Systems

MobiWIS 2017: Mobile Web and Intelligent Information Systems pp 187–192Cite as

Visual Moving Objects Tracking Using Shape Detectors and Object Models

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10486))

Abstract

This paper presents an algorithm of robot visual moving-object tracking (MOT) based on the probabilistic object model with a pedestrian detector. Three major research topics investigated in the study include the combination of moving feature detection and pedestrian detection, the improvement of probabilistic object model, and the tuning mechanism of object model training. The developed MOT was further integrated with the visual simultaneous localization and mapping (vSLAM)to form a simultaneous localization, mapping, and moving object tracking system. The extended Kalman filter (EKF) was used to estimate the system states and the speeded-up robust features (SURFs) were employed to represent the visual environment map. Experiments were carried out in this research to validate the performance of the developed systems.

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References

  1. Choi, W., Pantofaru, C., Savarese, S.: A general framework for tracking multiple people from a moving camera. IEEE Trans. Pattern Anal. Mach. Intell. 35, 1577–1591 (2013)

    Article  Google Scholar 

  2. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2005)

    Google Scholar 

  3. Leibe, B., Leonardis, A., Schiele, B.: Robust object detection with interleaved categorization and segmentation. Int. J. Comput. Vision 77(1–3), 259–289 (2008)

    Article  Google Scholar 

  4. Ess, A., Leibe, B., Schindler, K., van Gool, L.: Robust multiperson tracking from a mobile platform. IEEE Trans. Pattern Anal. Mach. Intell. 31(10), 1831–1846 (2009)

    Article  Google Scholar 

  5. Davison, A.J., Reid, I.D., Molton, N.D., Stasse, O.: MonoSLAM real time single camera SLAM. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 1052–1067 (2007)

    Article  Google Scholar 

  6. Wang, Z., Huang, S., Dissanayake, G.: Simultaneous Localization and Mapping. World Scientific Publishing Co. (2011)

    Google Scholar 

  7. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: SURF: speeded-up robust features. Comput. Vis. Image Underst. 110, 346–359 (2008)

    Article  Google Scholar 

  8. Shen, C.A.: Visual moving object tracking using pedestrian detector and object model. Master thesis, Department of Mechanical and Electro-Mechanical Engineering, Tamkang University, Taiwan (2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Tamkang University, Tamsui, New Taipei City, 25137, Taiwan

    Yin-Tien Wang & Chin-An Shen

Authors
  1. Yin-Tien Wang
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  2. Chin-An Shen
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Corresponding author

Correspondence to Yin-Tien Wang .

Editor information

Editors and Affiliations

  1. Oxford Brookes University, Oxford, United Kingdom

    Muhammad Younas

  2. Department of Informatics, University of Bradford, Bradford, United Kingdom

    Irfan Awan

  3. Department of Software Engineering, Charles University, Prague 1, Czech Republic

    Irena Holubova

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© 2017 Springer International Publishing AG

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Wang, YT., Shen, CA. (2017). Visual Moving Objects Tracking Using Shape Detectors and Object Models. In: Younas, M., Awan, I., Holubova, I. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2017. Lecture Notes in Computer Science(), vol 10486. Springer, Cham. https://doi.org/10.1007/978-3-319-65515-4_16

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  • DOI: https://doi.org/10.1007/978-3-319-65515-4_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65514-7

  • Online ISBN: 978-3-319-65515-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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