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筛选

浏览/检索结果: 共69条，第1-10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 Comprehensive Attribute Prediction Learning for Person Search by Language 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1990-2003 作者:  Niu, Kai;  Huang, Linjiang;  Long, Yuzhou;  Huang, Yan;  Wang, Liang   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/07/03 Person search by language  cross-modal retrieval  smart video surveillance  attribute prediction   Improving Inconspicuous Attributes Modeling for Person Search by Language 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 3429-3441 作者:  Niu, Kai;  Huang, Tao;  Huang, Linjiang;  Wang, Liang;  Zhang, Yanning   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Person search by language  cross-modal retrieval  smart video surveillance   Pedestrian Origin-Destination Estimation Based on Multi-Camera Person Re-Identification 期刊论文  OAI收割 SENSORS, 2022, 卷号: 22, 期号: 19, 页码: 13 作者:  Li, Yan;  Sarvi, Majid;  Khoshelham, Kourosh;  Zhang, Yuyang;  Jiang, Yazhen   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/11/09 pedestrian origin-destination estimation  multi-view video surveillance  pedestrian trajectories  person re-identification   Pedestrian Origin-Destination Estimation Based on Multi-Camera Person Re-Identification 期刊论文  OAI收割 SENSORS, 2022, 卷号: 22, 期号: 19, 页码: 13 作者:  Li, Yan;  Sarvi, Majid;  Khoshelham, Kourosh;  Zhang, Yuyang;  Jiang, Yazhen   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/11/09 pedestrian origin-destination estimation  multi-view video surveillance  pedestrian trajectories  person re-identification   Visual Surveillance for Human Fall Detection in Healthcare IoT 期刊论文  OAI收割 IEEE Multimedia, 2022, 页码: 1-19 作者:  Zhang YL(张吟龙);  Zheng, Xiaoyan;  Liang W(梁炜);  Zhang SC(张思超);  Yuan XD(苑旭东)   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/03/23 convolutional neural network  discriminant fall features  elderly healthcare  Fall detection  Internet of Things (IoT)  Older adults  Skeleton  video surveillance   Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1253-1270 作者:  Imran Ahmed;  Sadia Din;  Gwanggil Jeon;  Francesco Piccialli;  Giancarlo Fortino   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/06/11 Collaborative robotics  deep learning  object detection and tracking  top view  video surveillance   NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor 期刊论文  OAI收割 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 923-936 作者:  Chen, Guang;  Liu, Peigen;  Liu, Zhengfa;  Tang, Huajin;  Hong, Lin   |  收藏  |  浏览/下载：74/0  |  提交时间：2021/01/07 Neuromorphics  Vision sensors  Event detection  Cameras  Feature extraction  Legged locomotion  Signal processing algorithms  Abnormal event detection  video surveillance  optical flow  event based descriptors  neuromorphic vision sensor   A parallel vision approach to scene-specific pedestrian detection 期刊论文  OAI收割 NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126 作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue   |  收藏  |  浏览/下载：27/0  |  提交时间：2020/06/22 Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision   Perceiving Motion From Dynamic Memory for Vehicle Detection in Surveillance Videos 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 12, 页码: 3558-3567 作者:  Liu, Wei;  Liao, Shengcai;  Hu, Weidong   |  收藏  |  浏览/下载：42/0  |  提交时间：2020/03/30 Videos  Feature extraction  Object detection  Detectors  Surveillance  Proposals  Dynamics  Object detection  surveillance video  deep neural network   Combining background subtraction algorithms with convolutional neural network 期刊论文  OAI收割 Journal of Electronic Imaging, 2019, 卷号: 28, 期号: 1, 页码: 6 作者:  D.D.Zeng;  M.Zhu;  A.Kuijper   |  收藏  |  浏览/下载：25/0  |  提交时间：2020/08/24 foreground object detection,convolutional neural network,CDnet 2014,dataset,video surveillance,object detection,Engineering,Optics,Imaging Science & Photographic Technology