现代电子技术2025，Vol.48Issue(13)：62-65,4.DOI:10.16652/j.issn.1004-373x.2025.13.009
基于显著性特征的多视角动作图像识别研究
Research on multi view action image recognition based on saliency features
摘要
Abstract
A multi view action image recognition method based on saliency features is studied.The key features of athlete actions are automatically learned and extracted,which can help coaches develop more scientific and personalized training plans for athletes.The human skeleton sequence is aligned to a unified spatiotemporal coordinate system,and both the distance map and angle map are calculated to capture the spatial features of the skeleton,so as to generate a human motion feature map.A CNN+CA model is built.A region of interest(ROI)splicing diagram from the processed multi view action video frames is generated and input into CNN,and then multi view fusion features are extracted.In addition,the most critical region for action image recognition in the CA module is highlighted.By sequence matching algorithm,the multi view action recognition is transformed into a matching of predicting label sequences,and action category labels are assigned to the action images to be recognized,which achieves accurate multi view action image recognition.The experimental results show that the method can not only effectively process action images in different perspectives,but also accurately recognize multiple actions of basketball players.关键词
显著性特征/多视角动作图像/运动特征图/ROI拼接图/CNN/CA模块/LSTM/序列匹配算法Key words
salient feature/multi view action image/motion feature map/ROI splicing diagram/CNN/CA module/LSTM/sequence matching algorithm分类
信息技术与安全科学引用本文复制引用
惠向晖,孙艳红,沈小乐..基于显著性特征的多视角动作图像识别研究[J].现代电子技术,2025,48(13):62-65,4.基金项目
河南省科技厅重大科技专项子课题(231100110200) （231100110200）
