About quality of Kernel based object tracking

Shaposhnikov A.A., Shaposhnikova E.V., Shaposhnikov A.I.
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The kernel based object tracking algorithms were described that take in account the independent changes of the 4 and 5 out of 5 parameters of the elliptic tracking region. It is shown that in tracking this conditions are sufficient and attempts of prediction are not necessary.

Keywords: automatic tracking, kernel based object tracking
Citation in English: Shaposhnikov A.A., Shaposhnikova E.V., Shaposhnikov A.I. About quality of Kernel based object tracking // Computer Research and Modeling, 2014, vol. 6, no. 4, pp. 495-502
Citation in English: Shaposhnikov A.A., Shaposhnikova E.V., Shaposhnikov A.I. About quality of Kernel based object tracking // Computer Research and Modeling, 2014, vol. 6, no. 4, pp. 495-502
DOI: 10.20537/2076-7633-2014-6-4-495-502
URL: http://crm-en.ics.org.ru/journal/article/2162/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
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