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Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking.

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  • معلومة اضافية
    • Author-Supplied Keywords:
      BPNN-controlled fast normalized correlation
      Dynamic search-window
      Predictive open-loop car-following control
      Robust template-updating
      Visual tracking
    • Abstract:
      We present a robust framework for a real-time visual tracking system, based on a BPNN-controlled fast normalized correlation (BCFNC) algorithm and a predictive open-loop car-following control (POL-CFC) strategy. The search for the target is carried out in a dynamically generated resizable search-window. In order to achieve the robustness, we use some edge-enhancement operations before the correlation operation, and introduce an adaptive template-updating scheme. The proposed tracking algorithm is compared with various correlation-based techniques and (in some cases) with the mean-shift and the condensation trackers on real-world scenarios. A significant improvement in efficiency and robustness is reported. The POL-CFC algorithm approximates the current velocity of an open-loop pan-tilt unit, computes the predicted relative-velocity of the object using Kalman filter, and generates the precise control signals to move the camera accurately towards the maneuvering target regardless of its changing velocity. The proposed system works in real-time at the speed of 25–200 frames/ second depending on the template size, and it can persistently track a distant or near object even in the presence of object fading, low-contrast imagery, noise, short-lived background clutter, object-scaling, changing object-velocity, varying illumination, object maneuvering, multiple objects, obscuration, and sudden occlusion. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Machine Vision & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • Author Affiliations:
      1Electrical (Telecom.) Engineering Department , National University of Sciences & Technology , Rawalpindi Pakistan
      2School of Electrical Engineering & Computer Science , University of Central Florida , Orlando 32816 USA
      3Engineering Division , National University of Sciences & Technology , Rawalpindi Pakistan
    • ISSN:
      0932-8092
    • Accession Number:
      10.1007/s00138-007-0072-4
    • Accession Number:
      28404782
  • Citations
    • ABNT:
      AHMED, J. et al. Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking. Machine Vision & Applications, [s. l.], v. 19, n. 1, p. 1–25, 2008. DOI 10.1007/s00138-007-0072-4. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=28404782&custid=s8280428. Acesso em: 31 out. 2020.
    • AMA:
      Ahmed J, Jafri M, Shah M, Akbar M. Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking. Machine Vision & Applications. 2008;19(1):1-25. doi:10.1007/s00138-007-0072-4
    • APA:
      Ahmed, J., Jafri, M., Shah, M., & Akbar, M. (2008). Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking. Machine Vision & Applications, 19(1), 1–25. https://doi.org/10.1007/s00138-007-0072-4
    • Chicago/Turabian: Author-Date:
      Ahmed, Javed, M. Jafri, Mubarak Shah, and Muhammad Akbar. 2008. “Real-Time Edge-Enhanced Dynamic Correlation and Predictive Open-Loop Car-Following Control for Robust Tracking.” Machine Vision & Applications 19 (1): 1–25. doi:10.1007/s00138-007-0072-4.
    • Harvard:
      Ahmed, J. et al. (2008) ‘Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking’, Machine Vision & Applications, 19(1), pp. 1–25. doi: 10.1007/s00138-007-0072-4.
    • Harvard: Australian:
      Ahmed, J, Jafri, M, Shah, M & Akbar, M 2008, ‘Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking’, Machine Vision & Applications, vol. 19, no. 1, pp. 1–25, viewed 31 October 2020, .
    • MLA:
      Ahmed, Javed, et al. “Real-Time Edge-Enhanced Dynamic Correlation and Predictive Open-Loop Car-Following Control for Robust Tracking.” Machine Vision & Applications, vol. 19, no. 1, Apr. 2008, pp. 1–25. EBSCOhost, doi:10.1007/s00138-007-0072-4.
    • Chicago/Turabian: Humanities:
      Ahmed, Javed, M. Jafri, Mubarak Shah, and Muhammad Akbar. “Real-Time Edge-Enhanced Dynamic Correlation and Predictive Open-Loop Car-Following Control for Robust Tracking.” Machine Vision & Applications 19, no. 1 (April 2008): 1–25. doi:10.1007/s00138-007-0072-4.
    • Vancouver/ICMJE:
      Ahmed J, Jafri M, Shah M, Akbar M. Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking. Machine Vision & Applications [Internet]. 2008 Apr [cited 2020 Oct 31];19(1):1–25. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=28404782&custid=s8280428