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Action Recognition in Intelligent Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Action Recognition in Intelligent Systems./
作者:	Peng, Han.
面頁冊數:	1 online resource (131 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-09, Section: B.
Contained By:	Dissertations Abstracts International84-09B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30246746click for full text (PQDT)
ISBN:	9798377614005

Action Recognition in Intelligent Systems.
Peng, Han.

Action Recognition in Intelligent Systems. - 1 online resource (131 pages)

Source: Dissertations Abstracts International, Volume: 84-09, Section: B.

Thesis (Ph.D.)--Northern Arizona University, 2023.

Includes bibliographical references

Action recognition is an emerging topic in artificial intelligence, which aims to automatically detect and recognize actions of human and intelligent nodes (vehicles, UAVs) by processing video recordings and data provided by other sensing platforms. Action recognition has been used in a wide range of applications including but not limited to surveillance systems, health-care, athlete training, human-computer interaction modeling, and autonomous vehicles. Action recognition, based on the utilized information acquisition method, can be categorized into three main areas: video-based, radar-based (node-based), and wearable-sensor-based action recognition. However, the definitions are not exclusive and these methods can be overlapping. Developed algorithms are diverse to meet the requirement and constraints of different applications. An important challenge is developing real-time action recognition, which can prohibitively increase the computational cost of the system. In additions, technical implementation challenges can be different in data acquisition based on the utilized platforms. In video-based action recognition, developing highly accurate algorithms requires accommodating different view angles, illumination conditions, camera motions, and background contrast. In radar-based target tracking method, as an important variant of action recognition, the intrinsic variations among the motion patterns of different species should be taken into account by developing type-specific or customizable models. In wearable-sensor-based action recognition systems, the sensor position can be sensitive for different actions.This project will mainly focus on these three types of action recognition. The aims of this project are developing efficient and fast algorithms for video-based action recognition in different applications, proposing a unified algorithm for radar-based action recognition, developing novel architecture methods with higher accuracy for wearable-sensor-based action recognition.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798377614005Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Intelligent systemsIndex Terms--Genre/Form:

542853
Electronic books.

Action Recognition in Intelligent Systems.
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