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Proceedings Paper

Fast tracking using edge histograms
Author(s): Przemyslaw Rokita
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Paper Abstract

This paper proposes a new algorithm for tracking objects and objects boundaries. This algorithm was developed and applied in a system used for compositing computer generated images and real world video sequences, but can be applied in general in all tracking systems where accuracy and high processing speed are required. The algorithm is based on analysis of histograms obtained by summing along chosen axles pixels of edge segmented images. Edge segmentation is done by spatial convolution using gradient operator. The advantage of such an approach is that it can be performed in real-time using available on the market hardware convolution filters. After edge extraction and histograms computation, respective positions of maximums in edge intensity histograms, in current and previous frame, are compared and matched. Obtained this way information about displacement of histograms maximums, can be directly converted into information about changes of target boundaries positions along chosen axles.

Paper Details

Date Published: 3 April 1997
PDF: 7 pages
Proc. SPIE 3028, Real-Time Imaging II, (3 April 1997); doi: 10.1117/12.270335
Show Author Affiliations
Przemyslaw Rokita, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 3028:
Real-Time Imaging II
Divyendu Sinha, Editor(s)

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