机构

• 自动化研究所 [2]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [3]

内容类型

• 期刊论文 [2]
• 会议论文 [1]

发表日期

• 2021 [1]
• 2017 [1]
• 2006 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3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 Multi-Target Multi-Camera Tracking With Optical-Based Pose Association 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 8, 页码: 3105-3117 作者:  You, Sisi;  Yao, Hantao;  Xu, Changsheng   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/11/02 Target tracking  Trajectory  Cameras  Visualization  Feature extraction  Proposals  Object detection  Multi-target multi-camera tracking  pose estimation  optical flow  pose matching   Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2017, 卷号: 122, 期号: 2, 页码: 313-333 作者:  Wen, Longyin;  Lei, Zhen;  Chang, Ming-Ching;  Qi, Honggang;  Lyu, Siwei   |  收藏  |  浏览/下载：37/0  |  提交时间：2017/07/18 Multi-camera Multi-target Tracking  Single-camera Multi-target Tracking  Space-time-view Hyper-graph  Dense Sub-hypergraph Search   Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者:  Xue X.-C. 收藏  |  浏览/下载：33/0  |  提交时间：2013/03/25 Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper  in view of the low-flying target near the sea is always above the sea-level line  we can first locate the sea-level line  and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed  and the executive time of target segmentation is also much reduced. A new method is proposed  which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR  and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line  lastly uses the centroid tracking algorithm to detect and track the target. In the experiment  high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast  and eliminate the negative impact of the clutter caused by waves and clouds  and capture and track target real-timely and accurately.