中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	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：40/0 \| 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
	An Equalised Global Graphical Model-Based Approach for Multi-Camera Object Tracking 期刊论文 OAI收割 IEEE Transactions on Circuits and Systems for Video Technology, 2017, 卷号: 27, 期号: 11, 页码: 2367-2381 作者: Weihua Chen; Lijun Cao; Xiaotang Chen; Kaiqi Huang \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2018/01/03 Multi-camera Multi-object Tracking Global Graph Model Non-overlapping Visual Object Tracking
	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
	Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes 期刊论文 OAI收割 ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2017, 卷号: 42, 期号: 8, 页码: 3451-3463 作者: Wen, Zhuoman; Kuijper, Arjan; Fraissinet-Tachet, Matthieu; Wang, Yanjie; Luo, Jun \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2018/11/20 Computer vision Multi-camera tracking Image registration Mutual information Nonlinear optimization
	基于中层特征表达的目标识别技术研究学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 郑帅收藏 \| 浏览/下载：55/0 \| 提交时间：2015/09/02 目标识别特征表达步态识别多摄像机跟踪 Object Recognition Feature Representation Gait recognition multi-camera tracking
	Gimbal displacement error analysis on an electro-optical seeker (EI CONFERENCE) 会议论文 OAI收割 Optical Design and Testing IV, October 18, 2010 - October 20, 2010, Beijing, China 作者: Zhang X.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 It is essential to analyze the gimbal displacement errors for a seeker due to the importance for cueing of targets and tracking for the final approach. Otherwise for a seeker electro-driven with a concentric glass dome the large errors will decrease the picking pointing and tracking precision rooted from the displacement errors existing between the rotation center of the optical system and the gimbal. And the gimbaled camera system displacement errors are never eliminated but reduced due to the geometric errors consists of geometric tolerances of gimbal structure manufacture installation and vibration coming from working environment. In this paper the gimbal displacement errors in an electro-optically stabilized platform resulting from geometric errors and environment errors were analyzed and shown in detail. The mathematical modal of the gimbal displacement errors created based on multi-body dynamics demonstrated the connection between the gimbal displacement errors and the stabilized platform. Taking a visible light image seeker as a case the diameter is 120mm and the geometric tolerances came from the values of primary design and the vibration data came from the environmental vibration test on the pitch-yaw seeker and at the same time the errors resulting from installation were considered too. Based on calculating the maximum gimbal displacement error will reach to 0.2mm for pitching angle smaller than 40 and yawing angle smaller than 60. However the critical parts have been found out according to the probability theory and the reliability analysis successfully used in the paper and finally the maximum gimbal displacement error reduced to 0.1mm which is acceptable corresponding to the picking pointing and tracking precision for an optical imaging seeker. 2010 Copyright SPIE - The International Society for Optical Engineering.
	人的跟踪与遮挡处理学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008 作者: 周雪收藏 \| 浏览/下载：56/0 \| 提交时间：2015/09/02 视觉监控跟踪遮挡处理基于主动轮廓的跟踪带有遮挡推理的跟踪基于主轴的多摄像机匹配 visual surveillance tracking occlusion handling active contour-based tracking people tracking with occlusion reasoning principal axis based multi-camera correspondence
	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.