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

Vladimir G. Krasilenko; Aleksandr I. Nikolskyy; Alexander A. Lazarev

doi:10.1117/12.2205779

14 December 2015 Modeling optical pattern recognition algorithms for object tracking based on nonlinear equivalent models and subtraction of frames

Vladimir G. Krasilenko, Aleksandr I. Nikolskyy, Alexander A. Lazarev

Author Affiliations +

Proceedings Volume 9813, MIPPR 2015: Pattern Recognition and Computer Vision; 981302 (2015) https://doi.org/10.1117/12.2205779
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

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Vladimir G. Krasilenko, Aleksandr I. Nikolskyy, and Alexander A. Lazarev "Modeling optical pattern recognition algorithms for object tracking based on nonlinear equivalent models and subtraction of frames", Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 981302 (14 December 2015); https://doi.org/10.1117/12.2205779

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