The paper considers aspects of Unmanned Aerial Vehicle video stream foreground detection based on computer vision and artificial intelligence. Non-parametric approach for background subtraction based on kernel model was used as the most appropriate for usage in dynamic environment. One of the key elements of the kernel density estimation is bandwidth selection that significantly effects results of image segmentation and object detection. Several approaches of bandwidth selection and their impact on object detection performance is investigated in the paper. Otsu’s method was used for threshold selection for image segmentation

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Language:

English

Type

Refereed Conference Proceedings

Firstpage Number

Lastpage Number

Keywords

computer vision, Unmanned Aerial Vehicle, kernel density estimation, Otsu’s method, foreground detection, background subtraction

DOI
10.1109/APUAVD47061.2019.8943857

Publisher

Actual problems of unmanned aerial vehicles development: APUAVD-2019 6th International Conference of IEEE

Year of publishing

2019

Citation

DSTU

Kharchenko V.P., Kukush A.G., Kuzmenko N.S., Ostroumov I.V. Kernel Density Estimation for Foreground Detection in Dynamic Video Processing for Unmanned Aerial Vehicle Application. Actual problems of unmanned aerial vehicles development: APUAVD-2019 6th International Conference of IEEE. 2019. P. 71-74. DOI: 10.1109/APUAVD47061.2019.8943857.

IEEE

V.P. Kharchenko, A.G. Kukush, N.S. Kuzmenko, and I.V. Ostroumov, "Kernel Density Estimation for Foreground Detection in Dynamic Video Processing for Unmanned Aerial Vehicle Application," Actual problems of unmanned aerial vehicles development: APUAVD-2019 6th International Conference of IEEE , October 2019, pp. 71-74, doi:10.1109/APUAVD47061.2019.8943857.

Harvard

Kharchenko V.P., Kukush A.G., Kuzmenko N.S., and Ostroumov I.V., 2019, 10. Kernel Density Estimation for Foreground Detection in Dynamic Video Processing for Unmanned Aerial Vehicle Application. In Actual problems of unmanned aerial vehicles development: APUAVD-2019 6th International Conference of IEEE (pp. 71-74).

Springer

Kharchenko, V.P., Kukush, A.G., Kuzmenko, N.S., Ostroumov, I.V.: Kernel Density Estimation for Foreground Detection in Dynamic Video Processing for Unmanned Aerial Vehicle Application. In: Actual problems of unmanned aerial vehicles development: APUAVD-2019 6th International Conference of IEEE, pp. 71-74 (2019). doi:10.1109/APUAVD47061.2019.8943857.

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