RETRACTED: Simulation of sports action picture recognition based on FPGA and convolutional neural network
| Autor: | Yan-Min Gao, Wen-Li Yang, Feng Zhai |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Picture recognition
Computer Networks and Communications Computer science business.industry 020208 electrical & electronic engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology Grayscale Convolutional neural network 020202 computer hardware & architecture Light intensity Artificial Intelligence Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence business Field-programmable gate array Software |
| Zdroj: | Microprocessors and Microsystems. 80:103593 |
| ISSN: | 0141-9331 |
| Popis: | The actions of the opposition are basically communicated. In addition, it searches for relevant information about competitor photo detection and sports activity photos that can be implemented in external photos. Judging from the situation in the military, the situation is going well. Therefore, the evaluation development diagram is to consider the purpose of image confirmation development. Video detection involves the entire system. The structural configuration depends on the hardware, including the Field Programmable Gate Arrays (FPGAs). In this proposed combines several image processing methods to produce a clear difference image, while at the same time being more robust to changes in light intensity and background scenes. Edge-unquestionable check appraisal, grayscale orchestrating, target acquirement, target attestation, picture district headway. For a long time, it has set up the structure for displays to test the relevance of investigation frameworks. This licenses you to see competitors' affirmations, game statements, and sports clues, to say the least. The video detection results from the relevant surveys indicate that a solution exists. Use Convolutional Neural Network (CNN) instead of encoding immutable features to classify images into human and non-human categories and actions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect