بینایی ماشین - Machine vision
عنوان انگلیسی مقاله:
An overview of Human Action Recognition in sports based on Computer Vision
ترجمه فارسی عنوان مقاله:
مروری بر تشخیص کنش انسانی در ورزش بر اساس بینایی کامپیوتری
ScienceDirect- Elsevier- Heliyon, 8 (2017) e09633: doi:10:1016/j:heliyon:2022:e09633
Human Action Recognition (HAR) is a challenging task used in sports such as volleyball, basketball, soccer, and
tennis to detect players and recognize their actions and teams activities during training, matches, warm-ups, or
competitions. HAR aims to detect the person performing the action on an unknown video sequence, determine the
actions duration, and identify the action type. The main idea of HAR in sports is to monitor a players performance, that is, to detect the player, track their movements, recognize the performed action, compare various
actions, compare different kinds and skills of acting performances, or make automatic statistical analysis.
As an action that can occur in the sports field refers to a set of physical movements performed by a player in
order to complete a task using their body or interacting with objects or other persons, actions can be of different
complexity. Because of that, a novel systematization of actions based on complexity and level of performance and
interactions is proposed.
The overview of HAR research focuses on various methods performed on publicly available datasets, including actions of everyday activities. That is just a good starting point; however, HAR is increasingly represented in sports and is becoming more directed towards recognizing similar actions of a particular sports domain. Therefore, this paper presents an overview of HAR applications in sports primarily based on Computer Vision as the main contribution, along with popular publicly available datasets for this purpose.
keywords: یادگیری ماشین | تشخیص عمل انسانی | سیستم سازی اقدام | مجموعه داده های ورزشی | شناخت کنش انسان در ورزش | ورزش | Machine learning | Human Action Recognition | Action systematization | Sports dataset | Human action recognition in sports | Sport
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