The problem of object recognition in Unmanned Aerial Vehicle application is considered. Probabilistic Bayesian approach in object recognition is used. The accuracy of object recognition depends directly on the quality of prior data and accuracy of object parameters description. An approach for probability density estimation based of regression model is represented. Probability density functions are estimated by learning samples. The proposed approach is verified by laboratory experiment with video recording of object in rotatable platform.

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Language:

English

Type

Refereed Conference Proceedings

Firstpage Number

233

Lastpage Number

236

Keywords

Bayesian approach, frame, Nadaraya-Watson estimate, nonparametric regression, object recognition, probability density function, Unmanned Aerial Vehicle,video-stream

DOI
10.1109/APUAVD.2017.8308818

Publisher

Actual problems of unmanned aerial vehicles development: APUAVD-2017 5th International Conference of IEEE

Year of publishing

2017

Citation

DSTU

Kharchenko V.P., Kukush A.G., Kuzmenko N.S., Ostroumov I.V. Probability density estimation for object recognition in Unmanned Aerial Vehicle application. Actual problems of unmanned aerial vehicles development: APUAVD-2017 5th International Conference of IEEE. 2017. P. 233-236. DOI: 10.1109/APUAVD.2017.8308818.

IEEE

V.P. Kharchenko, A.G. Kukush, N.S. Kuzmenko, and I.V. Ostroumov, "Probability density estimation for object recognition in Unmanned Aerial Vehicle application," Actual problems of unmanned aerial vehicles development: APUAVD-2017 5th International Conference of IEEE, October 2017, pp. 233-236, doi:10.1109/APUAVD.2017.8308818.

Harvard

Kharchenko V.P., Kukush A.G., Kuzmenko N.S., and Ostroumov I.V., 2017, 10. Probability density estimation for object recognition in Unmanned Aerial Vehicle application. In Actual problems of unmanned aerial vehicles development: APUAVD-2017 5th International Conference of IEEE (pp. 233-236).

Springer

Kharchenko, V.P., Kukush, A.G., Kuzmenko, N.S., Ostroumov, I.V.: Probability density estimation for object recognition in Unmanned Aerial Vehicle application. In: Actual problems of unmanned aerial vehicles development: APUAVD-2017 5th International Conference of IEEE, pp. 233-236 (2017). doi:10.1109/APUAVD.2017.8308818.

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