Feature Extraction of Basketball Shooting Based on Apriori Algorithm
| Autor: | Wei Zou, Zhixiang Jin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Apriori algorithm
Basketball Pixel Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION GeneralLiterature_MISCELLANEOUS Action (philosophy) Feature (computer vision) Line (geometry) Computer vision Point (geometry) Artificial intelligence business |
| Zdroj: | Application of Intelligent Systems in Multi-modal Information Analytics ISBN: 9783030515553 |
| DOI: | 10.1007/978-3-030-51556-0_104 |
| Popis: | To enhance the extraction and detection of basketball shooting feature and guide basketball training, an improved intelligent line breakage extraction method based on Apriori algorithm is proposed under computer vision. The template feature matching method is used to find the initial pixel cluster center of the basketball shooting action feature point visual image, and the false action information in the basketball shooting action feature image is eliminated by the gradient information enhancement method. The Apriori algorithm is used for image enhancement to realize the intelligent extraction and location of basketball shooting action feature, and to improve the ability of normative recognition of basketball shooting action. The proposed method realizes intelligent extraction of basketball shooting action features. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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