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Vehicle Tracking Using the High Dynamic Range Technology

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 239))

Abstract

The capabilities of the vehicle tracking systems based on data acquisition from a single camera with a linear processing characteristic are limited by the range of light radiation acquired at a given moment. Taking into account the fact that different vehicles present on a single video frame can be either underexposed, and overexposed (especially in the case of a highly reflective surface in the sunlight), the possibilities of distinguishing between them are limited. The paper presents a method of vehicle tracking with simultaneous acquisition of video frames with different exposure parameters. Aside from changing a single camera exposure it is also possible to use a double-camera variant, especially for distant objects, for which the shift on both images acquired simultaneously is negligible. The proposed method uses a modified Track-Before-Detect technique with additional data fusion in order to obtain the High Definition Range images used for the tracking of vehicles represented on the images as the objects with varying brightness and size.

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References

  1. Bar–Shalom, Y.: Multitarget–Multisensor Tracking: Applications and Advances, vol. II. Artech House, Norwood (1992)

    Google Scholar 

  2. Blackman, S., Poupoli, R.: Modern Tracking Systems. Artech House, Norwood (1999)

    Google Scholar 

  3. Blackman, S.: Multiple–Target Tracking with Radar Applications. Artech House, Norwood (1986)

    Google Scholar 

  4. Boers, Y., Ehlers, F., Koch, W., Luginbuhl, T., Stone, L.D., Streit, R.L. (eds.): Track Before Detect Algorithm. EURASIP Journal on Advances in Signal Processing, Hindawi (2008)

    Google Scholar 

  5. Hoefflinger, B. (ed.): High-Dynamic-Range (HDR) Vision, Microelectronics, Image Processing, Computer Graphics. Advanced Microelectronics 26. Springer, Heidelberg (2006)

    Google Scholar 

  6. Kalman, R.E.: A New Approach to Linear Filtering and Prediction Problems. Transactions of the ASME–Journal of Basic Engineering 82, Series D 35–46 (1960)

    Article  Google Scholar 

  7. Klein, L.A.: Sensor Technologies and Data Requirements for ITS. Artech House ITS library, Norwood (2001)

    Google Scholar 

  8. Mazurek, P., Okarma, K.: Application of the HDR Imaging for Vehicles’ Video Tracking Systems. Archives of Transport Systems Telematics 3(4), 32–36 (2010)

    Google Scholar 

  9. Mazurek, P.: Suppression of Impulse Noise in Track-Before-Detect Algorithms. Computer Applications in Electrical Engineering 8, 201–211 (2010)

    Google Scholar 

  10. Myszkowski, K., Mantiuk, R., Krawczyk, G.: High Dynamic Range Video. Morgan and Claypool, San Rafael (2008)

    Google Scholar 

  11. Reinhard, E., Ward, G., Pattanaik, S., Debevec, P.: High Dynamic Range Imaging Acquisition, Display, and Image-Based Lighting. Morgan-Kaufmann, Elsevier, San Francisco (2005)

    Google Scholar 

  12. Stone, L.D., Barlow, C.A., Corwin, T.L.: Bayesian Multiple Target Tracking. Artech House, Norwood (1999)

    MATH  Google Scholar 

  13. Traffic Detector Handbook: Third Edition, Publication No. FHWA-HRT-06-10, Federal Highway Administration, vol. I, US Department of Transportation (2006)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Okarma, K., Mazurek, P. (2011). Vehicle Tracking Using the High Dynamic Range Technology. In: Mikulski, J. (eds) Modern Transport Telematics. TST 2011. Communications in Computer and Information Science, vol 239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24660-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-24660-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24659-3

  • Online ISBN: 978-3-642-24660-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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