Fast tracking using edge histograms

Przemyslaw Rokita

doi:10.1117/12.270335

3 April 1997 Fast tracking using edge histograms

Przemyslaw Rokita

Proceedings Volume 3028, Real-Time Imaging II; (1997) https://doi.org/10.1117/12.270335
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

Przemyslaw Rokita "Fast tracking using edge histograms", Proc. SPIE 3028, Real-Time Imaging II, (3 April 1997); https://doi.org/10.1117/12.270335

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