机构

• 计算技术研究所 [2]
• 自动化研究所 [2]
• 西安光学精密机械研究... [2]
• 长春光学精密机械与物... [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [8]

内容类型

• 期刊论文 [7]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2021 [1]
• 2020 [1]
• 2017 [2]
• 2016 [1]
• 2015 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共8条，第1-8条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 SSR-HEF: Crowd Counting With Multiscale Semantic Refining and Hard Example Focusing 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18 作者:  Chen, Jiwei;  Wang, Kewei;  Su, Wen;  Wang, Zengfu   |  收藏  |  浏览/下载：48/0  |  提交时间：2022/12/23 Semantics  Task analysis  Feature extraction  Focusing  Informatics  Estimation  Prediction algorithms  Crowd counting  density map  hard example focusing (HEF)  multiscale semantic refining strategy (SSR)   Density-Aware Multi-Task Learning for Crowd Counting 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 443-453 作者:  Jiang, Xiaoheng;  Zhang, Li;  Zhang, Tianzhu;  Lv, Pei;  Zhou, Bing   |  收藏  |  浏览/下载：56/0  |  提交时间：2021/03/08 Task analysis  Semantics  Estimation  Feature extraction  Convolutional neural networks  Cameras  Head  Convolutional neural network  crowd counting  density-level classification  density map estimation  multi-task learning   Quick and Accurate False Data Detection in Mobile Crowd Sensing 期刊论文  OAI收割 IEEE-ACM TRANSACTIONS ON NETWORKING, 2020, 卷号: 28, 期号: 3, 页码: 1339-1352 作者:  Li, Xiaocan;  Xie, Kun;  Wang, Xin;  Xie, Gaogang;  Xie, Dongliang   |  收藏  |  浏览/下载：36/0  |  提交时间：2020/12/10 Sparse matrices  Sensors  Matrix decomposition  Monitoring  Principal component analysis  Robustness  Wireless sensor networks  Matrix separation  false data detection  mobile crowd sensing   Patch-based topic model for group detection 期刊论文  OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2017, 卷号: 60, 期号: 11 作者:  Chen, Mulin;  Wang, Qi   |  收藏  |  浏览/下载：28/0  |  提交时间：2017/12/26 Group Detection  Collective Behavior  Crowd Analysis  Latent Topic   Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 3, 页码: 635-648 作者:  Zhang, Yanhao;  Qin, Lei;  Ji, Rongrong;  Zhao, Sicheng;  Huang, Qingming   |  收藏  |  浏览/下载：31/0  |  提交时间：2019/12/12 Coherent motion pattern  crowd behavior analysis  emotional motion feature  structured trajectory learning (STL)   Measuring Collectiveness via Refined Topological Similarity 期刊论文  OAI收割 acm transactions on multimedia computing communications and applications, 2016, 卷号: 12, 期号: 2 作者:  Li, Xuelong;  Chen, Mulin;  Wang, Qi 收藏  |  浏览/下载：23/0  |  提交时间：2016/08/19 Multimedia  crowd analysis  collectiveness  manifold  feature extraction   Large Scale Crowd Analysis Based on Convolutional Neural Network 期刊论文  OAI收割 Pattern Recognition, 2015, 卷号: 48, 期号: 10, 页码: 3016–3024 作者:  Lijun, Cao;  Kaiqi, Huang   |  收藏  |  浏览/下载：16/0  |  提交时间：2016/06/30 Crowd Analysis  Flow Counting  Cnn  Large Scaledata   Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (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:   收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25 Crowd panic behavior detection is an important task in video analysis and event recognition  whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper  the crowd is regard as a fluid  and the crowd motion is described by four fluid kinematic features (divergence  vorticity  gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior  an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.