Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Pavel V. Babayan"'
Publikováno v:
Microprocessors and Microsystems. 51:99-105
This paper describes the relatively simple algorithm and its implementation in the FPGA-based onboard hardware for quick calculating estimators of point source coordinates within an image formed by onboard IR-sensor. The algorithm based on the iterat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2740af1b9654733c1f6261fcfaff4682
https://doi.org/10.1016/j.micpro.2017.04.009
https://doi.org/10.1016/j.micpro.2017.04.009
Publikováno v:
MECO
In our research we compare various neural network architectures that are used for object detection and recognition. In this work vehicles and pedestrians are considered objects of interest. Modern artificial neural networks are able to detect and loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d024f0a74c92b4b41793c91cdac00b
https://doi.org/10.1109/meco.2019.8760125
https://doi.org/10.1109/meco.2019.8760125
Autor:
Sergei Buiko, Maksim D. Ershov, Sergey A. Smirnov, Pavel V. Babayan, Aleksander Sirenko, Vadim Muraviev, Leonid Vdovkin
Publikováno v:
Real-Time Image Processing and Deep Learning 2019.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92da0b98abd302122170f7d9015cce60
https://doi.org/10.1117/12.2519274
https://doi.org/10.1117/12.2519274
Autor:
Nikita Yu. Shubin, Pavel V. Babayan
Publikováno v:
Pattern Recognition and Tracking XXX.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::824a20b1645e2c46d6611b8b8cb7463a
https://doi.org/10.1117/12.2518410
https://doi.org/10.1117/12.2518410
Publikováno v:
MECO
The object tracking task for simultaneous video capturing in visual and infrared spectral ranges is considered. The tracking algorithm based on independent processing of images that were captured in different ranges and tracking result fusion is prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2644df53b2f2a43b2d84b3f66682bac
https://doi.org/10.1109/meco.2018.8406073
https://doi.org/10.1109/meco.2018.8406073
Publikováno v:
MECO
In this paper we are considering road situation analysis tasks for traffic control and ensuring safety. The following image processing algorithms are proposed: vehicle detection and counting algorithm, road marking detection algorithm. The algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec987614bf4f0c88eedcb06c75451a6f
https://doi.org/10.1109/meco.2018.8406017
https://doi.org/10.1109/meco.2018.8406017
Publikováno v:
High-Performance Computing in Geoscience and Remote Sensing VII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd93028456997f1e6ef9fd40bb68c3bd
https://doi.org/10.1117/12.2277920
https://doi.org/10.1117/12.2277920
Autor:
Pavel V. Babayan, Nikita Yu. Shubin
Publikováno v:
MECO
An approach to effective detection and parameters estimation of long edges in the image has been proposed. The main idea of this work is the detection of long edges by parts, which curvature can be neglected. In accordance with the general algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57ff74ecefe260fb8f180e303036e614
https://doi.org/10.1109/meco.2017.7977196
https://doi.org/10.1109/meco.2017.7977196
Publikováno v:
SPIE Proceedings.
Lines are one of the most informative structure elements on any images. For this reason, objects detection and recognition problems are often reduced to edge detection task. One of the most popular approaches to detect lines is based on the Hough tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98a3121ba6a09bb6165e2cd75e042013
https://doi.org/10.1117/12.2241983
https://doi.org/10.1117/12.2241983
Publikováno v:
SPIE Proceedings.
This paper describes the implementation of the orientation estimation algorithm in FPGA-based vision system. An approach to estimate an orientation of objects lacking axial symmetry is proposed. Suggested algorithm is intended to estimate orientation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0968718d1cda0ebda2dcb6486e5eea55
https://doi.org/10.1117/12.2241091
https://doi.org/10.1117/12.2241091