Volleyball Movement Object Detection and Behavior Recognition Method of Artificial Neural Network

Movement object detection method is the basis and key of the modem intelligent video surveillance system. It combines advanced technologies in many fields, such as artificial intelligence, image processing, and pattern recognition, and is the research area of computer vision technology. Therefore, i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Mobile information systems Jg. 2022; S. 1 - 10
Hauptverfasser: Sun, Zhe, Zhang, Hongzhi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Hindawi 10.08.2022
John Wiley & Sons, Inc
Schlagworte:
Algorithms
Artificial intelligence
Artificial neural networks
Computer vision
Image processing
Information processing
Motion perception
Neural networks
Object recognition
Pattern recognition
Simulation
Surveillance systems
Target detection
Target recognition
Volleyball
China
ISSN:1574-017X, 1875-905X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Movement object detection method is the basis and key of the modem intelligent video surveillance system. It combines advanced technologies in many fields, such as artificial intelligence, image processing, and pattern recognition, and is the research area of computer vision technology. Therefore, it is important to explore the motion detection and target recognition algorithms. The data collection method has concluded that T > 60 is absent from four different videos. The T value is traversed from 0–255 to select the largest T value as the split threshold. Through the analysis, the range of the threshold selection can be reduced to 0-60, thus improving the operational efficiency.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1574-017X
1875-905X
DOI:10.1155/2022/2099204