基于深度传感器的篮球飞行过程抓取系统  

Grab system of basketball flight process based on depth sensor

作　　者：高阳[1] GAO Yang(Xi’An Peihua University,Xi’an 710125,China)

机构地区：[1]西安培华学院,西安710125

出　　处：《自动化与仪器仪表》2022年第10期216-219,225,共5页Automation & Instrumentation

基　　金：陕西省体育局常规课题,《新时期陕西省高校体育文明建设的理论与实践》(2021021)。

摘　　要：为实现对篮球飞行过程的准确抓取,提出基于深度传感器的篮球飞行过程抓取系统设计。采用深度传感器进行篮球飞行过程的动态视觉信息采样,通过A/D芯片实现对采集信息的信号转换,并建立机器视觉图像处理模式下的篮球飞行过程抓取动态参数识别模型;通过深度学习和图像处理技术,进行篮球飞行过程数据图像抓取后的姿态特征分析和轨迹预测;基于Tx2核心板的嵌入式平台,建立篮球飞行过程抓取系统的核心控制器,采用ZigBee的物联网组网技术进行篮球飞行过程抓取系统的网络设计;设置状态寄存器(Status)进行篮球飞行过程抓取系统的数据缓存管理,在嵌入式的云平台下,实现篮球飞行过程抓取的数据存储和云计算。测试结果表明,采用该方法进行篮球飞行过程抓取的实时性较好,视觉动态跟踪能力较强。Based on the depth sensor,the design of basketball grasping system is proposed.The depth sensor is used to sample the dynamic visual information of basketball flight process,and the recognition model of dynamic parameters in basket-ball flight process under the mode of machine vision image processing is established;Through deep learning and image pro-cessing technology,the posture feature analysis and trajectory prediction after capturing the data image of basketball flight process are carried out;Based on the embedded platform of TX2 core board,the core controller of basketball flight process capture system is established,and the network design of basketball flight process capture system is carried out by using ZigBee's Internet of things networking technology;The status register is set to manage the data cache of the basketball flight process capture system,and realize the data storage and cloud computing of basketball flight process capture under the embedded cloud platform.The test results show that this method has good real-time performance and strong visual dynamic tracking abil-ity.

关 键 词：深度传感器 篮球 飞行过程 抓取 视觉 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]