Real-Time Vision Tracking Algorithm

  • Edgar R. Arce-Santana
  • Jose M. Luna-Rivera
  • Daniel U. Campos-Delgado
  • Ulises Pineda-Rico
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)


Real-time object tracking is recently becoming very important in many video processing tasks. Applications like video surveillance, robotics, people tracking, etc., need reliable and economically affordable video tracking tools. Most of current available solutions are, however, computationally intensive and sometimes require expensive video hardware. In this paper, we propose a new object tracking algorithm for real-time video that relies in the combination of a similarity measure with an euclidian metric. This approach infers the trajectory of a moving object by applying a very simple optimization method which makes the tracking algorithm robust and easy to implement. Experimental results are provided to demonstrate the performance of the proposed tracking algorithm in complex real-time video sequence scenarios.


Tracking Algorithm Color Histogram Tracking Window Object Tracking Algorithm Propose Tracking Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Edgar R. Arce-Santana
    • 1
  • Jose M. Luna-Rivera
    • 1
  • Daniel U. Campos-Delgado
    • 1
  • Ulises Pineda-Rico
    • 1
  1. 1.Facultad de CienciasUASLPSan Luis Potosi, S.L.P.Mexico

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