中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共7条，第1-7条

帮助

条数/页：排序方式：
	Exploring Rich Semantics for Open-Set Action Recognition 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 5410-5421 作者: Hu, Yufan; Gao, Junyu; Dong, Jianfeng; Fan, Bin; Liu, Hongmin \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2024/07/03 Semantics Prototypes Knowledge graphs Visualization Task analysis Uncertainty Training Open-set action recognition video action recognition semantic relation modeling
	STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文 OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730 作者: Zhi-Wei Xu \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/09/13 Action recognition spatiotemporal relation multi-branch fusion long-term representation video classification
	Tangent Fisher Vector on Matrix Manifolds for Action Recognition 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 3052-3064 作者: Luo, Guan; Wei, Jiutong; Hu, Weiming; Maybank, Stephen J. \| 收藏 \| 浏览/下载：55/0 \| 提交时间：2020/04/07 Manifolds Video sequences Observability Videos Covariance matrices Kernel Computational modeling Action recognition Fisher vector Grassmann manifold Hankel matrix matrix manifold
	Action Machine: Toward Person-Centric Action Recognition in Videos 期刊论文 OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2019, 卷号: 26, 期号: 11, 页码: 1633-1637 作者: Zhu, Jiagang; Zou, Wei; Zhu, Zheng; Xu, Liang; Huang, Guan \| 收藏 \| 浏览/下载：66/0 \| 提交时间：2020/03/30 Pose estimation Videos Two dimensional displays Heating systems Training Magnetic heads Head Video action recognition deep learning pose estimation
	Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文 OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者: Zhang X.; Zhang J.; Zhang J.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：68/0 \| 提交时间：2013/03/25 Vision-based human action recognition provides an advanced interface and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set but also proves practical to some real world applications in addition this method is computationally simple and able to achieve a satisfactory accuracy.
	Automatic Detection and Analysis of Player Action in Moving Background Sports Video Sequences 期刊论文 OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2010, 卷号: 20, 期号: 3, 页码: 351-364 作者: Li, Haojie; Tang, Jinhui; Wu, Si; Zhang, Yongdong; Lin, Shouxun \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2019/12/16 Action recognition human body tracking sports training video analysis video object segmentation
	Human behavior analysis for highlight ranking in broadcast racket sports video 期刊论文 iSwitch采集 Ieee transactions on multimedia, 2007, 卷号: 9, 期号: 6, 页码: 1167-1182 作者: Zhu, Guangyu; Huang, Qingming; Xu, Changsheng; Xing, Liyuan; Gao, Wen 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/05/10 Action recognition Affective analysis Highlight ranking Semantic analysis Sports video analysis