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Proceedings Paper

Modeling optical pattern recognition algorithms for object tracking based on nonlinear equivalent models and subtraction of frames
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Paper Abstract

We have proposed and discussed optical pattern recognition algorithms for object tracking based on nonlinear equivalent models and subtraction of frames. Experimental results of suggested algorithms in Mathcad and LabVIEW are shown. Application of equivalent functions and difference of frames gives good results for recognition and tracking moving objects.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981302 (14 December 2015); doi: 10.1117/12.2205779
Show Author Affiliations
Vladimir G. Krasilenko, Vinnitsa Social Economy Institute (Ukraine)
Aleksandr I. Nikolskyy, Vinnitsa National Technical Univ. (Ukraine)
Alexander A. Lazarev, Vinnitsa National Technical Univ. (Ukraine)


Published in SPIE Proceedings Vol. 9813:
MIPPR 2015: Pattern Recognition and Computer Vision
Tianxu Zhang; Jianguo Liu, Editor(s)

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