Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Examining approaches for regions of interest detection in video clips as a service. / Iakushkin, Oleg O.; Balabanov, Mikhail Yu; Kozynchenko, Vladimir A.; Sedova, Olga S.; Selivanov, Dmitrii A.; Shaleva, Anna S.
International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017. ed. / Charalambos Tsitouras; Theodore Simos; Theodore Simos; Theodore Simos; Theodore Simos; Theodore Simos. Vol. 1978 American Institute of Physics, 2018. 070003 (AIP Conference Proceedings; Vol. 1978).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Examining approaches for regions of interest detection in video clips as a service
AU - Iakushkin, Oleg O.
AU - Balabanov, Mikhail Yu
AU - Kozynchenko, Vladimir A.
AU - Sedova, Olga S.
AU - Selivanov, Dmitrii A.
AU - Shaleva, Anna S.
PY - 2018/7/10
Y1 - 2018/7/10
N2 - Tracking of moving objects is a part of many applied tasks in computer vision. The first step in dealing with such tasks is to identify the objects in the original video clip, in other words, to locate the regions of interest (ROI), that will be further employed to ensure the tracking. This paper describes an algorithm and a cross-platform software that allows to analyse algorithms written in various programming languages based on the YouTube-BB dataset. The paper provides examples of our systems work based on the algorithms available in the OpenCV library and describes an interaction protocol allowing to test alternative algorithms.
AB - Tracking of moving objects is a part of many applied tasks in computer vision. The first step in dealing with such tasks is to identify the objects in the original video clip, in other words, to locate the regions of interest (ROI), that will be further employed to ensure the tracking. This paper describes an algorithm and a cross-platform software that allows to analyse algorithms written in various programming languages based on the YouTube-BB dataset. The paper provides examples of our systems work based on the algorithms available in the OpenCV library and describes an interaction protocol allowing to test alternative algorithms.
KW - OPTICAL-FLOW
UR - http://www.scopus.com/inward/record.url?scp=85049984086&partnerID=8YFLogxK
U2 - 10.1063/1.5043724
DO - 10.1063/1.5043724
M3 - Conference contribution
AN - SCOPUS:85049984086
VL - 1978
T3 - AIP Conference Proceedings
BT - International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017
A2 - Tsitouras, Charalambos
A2 - Simos, Theodore
A2 - Simos, Theodore
A2 - Simos, Theodore
A2 - Simos, Theodore
A2 - Simos, Theodore
PB - American Institute of Physics
T2 - 15th International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017
Y2 - 25 September 2017 through 30 September 2017
ER -
ID: 35949152