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Embedded omni-vision navigator based on multi-object tracking

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Abstract

This paper presents an embedded omni-vision navigation system which involves landmark recognition, multi-object tracking, and vehicle localization. A new tracking algorithm, the feature matching embedded particle filter, is proposed. Landmark recognition is used to provide the front-end targets. A global localization method for omni-vision based on coordinate transformation is also proposed. The digital signal processor (DSP) provides a hardware platform for on-board tracker. Dynamic navigator employs DSP tracker to follow the landmarks in real time during the arbitrary movement of the vehicle and computes the position for localization based on time sequence images analysis. Experimental results demonstrated that the navigator can efficiently offer the vehicle guidance.

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Authors and Affiliations

  1. School of Mechanical Engineering, Tianjin University of Technology, Tianjin, People’s Republic of China

    Huazhu Fu & Zuoliang Cao

  2. School of Computer Science and Technology, Tianjin University of Technology, Tianjin, People’s Republic of China

    Xiaochun Cao

Authors
  1. Huazhu Fu
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  2. Zuoliang Cao
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  3. Xiaochun Cao
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Corresponding author

Correspondence to Huazhu Fu.

Additional information

This paper contains the results of research of the international science and technology collaboration project of China and Finland (2006DFA12410) supported by the Ministry of Science and Technology of the People’s Republic of China. Additionally, the research involves part of the “863” High-Tech Program (2007AA04Z229) supported by the Ministry of Science and Technology of the People’s Republic of China.

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Fu, H., Cao, Z. & Cao, X. Embedded omni-vision navigator based on multi-object tracking. Machine Vision and Applications 22, 349–358 (2011). https://doi.org/10.1007/s00138-009-0245-4

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  • DOI: https://doi.org/10.1007/s00138-009-0245-4

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