UDC 004.41

Building an Advanced Invariant Real-Time Human Tracking System

Fayez Idris1, Mazen Abu_Zaher2, Rashad J. Rasras3 and Ibrahiem M. M. El Emary4

  1. Faculty of Computer Engineering, Jordan University of Science and Technology
    fidris@just.edu.jo
  2. Faculty of Graduate Students, Jordan University of Science and Technology
    mazen_mmaz@yahoo.com
  3. Faculty of Engineering Technology, Albalqa’ Applied university
    Amman, Jordan
    rashad_ras@yahoo.com
  4. Faculty of Engineering, Al Ahliyya Amman University
    Amman, Jordan
    doctor_ebrahim@yahoo.com

Abstract

Real-time human tracking is very important in surveillance and robot applications. We note that the performance of any human tracking system depends on its accuracy and its ability to deal with various human sizes in a fast way. In this paper, we combined the presented works in [1, 2] to come with new human tracking algorithm that is robust to background and lighting changes and does not require special hardware components. In addition this system can handle various scales of human images. The proposed system uses sum of absolute difference (SAD) with thresholding as has been described in [2] and compares the output with the predefined person pattern using the technique which has been described in [1]. Using the combination between [1,2] approaches will enhance the performance and speed of the tracking system since pattern matching has been performed according to just one pattern. After matching stage, a specific file is created for each tracked person; this file includes image sequences for that person. The proposed system handles shadows removal, lighting changes, and background changes with infinite pattern scales using standard personal computer.

Publication information

Volume 4, Issue 1 (Jun 2007)
Year of Publication: 2007
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Idris, F., Abu_Zaher, M., Rasras, R. J., Emary, I. M. M. E.: Building an Advanced Invariant Real-Time Human Tracking System. Computer Science and Information Systems, Vol. 4, No. 1, 57-76. (2007)