Accurate Recognition of Motion Patterns Based on Artificial Visual Neural Network

• Published in: Advances in Multimedia Vol. 2022; pp. 1 - 14
• Main Author: Li, Meiqi
• Format: Journal Article
• Language: English
• Published: New York Hindawi 04.07.2022; John Wiley & Sons, Inc; Wiley
• Subjects: Accuracy; Adaptation; Algorithms; Analysis; Behavior; Classification; Color matching; Coordinate transformations; Dictionaries; Field of view; Model matching; Neural networks; Pattern recognition; Pattern recognition systems; Semantics; Sensors; Sparsity; Stimuli; Time series; Velocity; Wavelet transforms
• DOI: 10.1155/2022/4321750
• ISSN: 1687-5680

In order to improve the accuracy of motion pattern recognition, this paper combines the artificial visual neural network to construct a motion pattern recognition system. Moreover, this paper discusses the psychological perception properties of human eyes to color stimuli and gives a description of the observation field of view where the color stimuli are located. At the same time, this paper analyzes the phenomenon of color adaptation and provides a method of color appearance matching through modeling to achieve color appearance matching under variable observation conditions. Based on the chromatic adaptation transformation, a chromatic appearance model is given, which can predict the corresponding color and also predict the chromatic appearance properties of color stimuli under given observation conditions. In addition, this paper constructs an intelligent motion pattern recognition system combined with artificial visual neural network. The experimental results show that the motion pattern recognition system based on artificial visual neural network can accurately identify the motion pattern category.