The matching points methods for solving the problem of the tracking objects
Polina Kovalenko, Andrey Mikhaylov, Alexander Kataev, Vladimir Rozaliev, Yulia Orlova
Available Online December 2017.
- https://doi.org/10.2991/itsmssm-17.2017.47How to use a DOI?
- computer vision, detection, key point, descriptor, image, tracking.
- This article interprets a concept of key points and its descriptors, object tracking and key points matching goals. The concept of object detection and detection classification methods are described. Key points matching methods based on standard OpenCV functions and matching machine learning methods are described. Comparative analysis of these methods working is represented by following parameters: standard deviation, maximum axis deviation, average operating time and execution accuracy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Polina Kovalenko AU - Andrey Mikhaylov AU - Alexander Kataev AU - Vladimir Rozaliev AU - Yulia Orlova PY - 2017/12 DA - 2017/12 TI - The matching points methods for solving the problem of the tracking objects BT - IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/itsmssm-17.2017.47 DO - https://doi.org/10.2991/itsmssm-17.2017.47 ID - Kovalenko2017/12 ER -