中国科学院机构知识库网格系统: 检索

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

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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

A New Composite Spiral Scanning Approach for Beaconless Spatial Acquisition and Experimental Investigation of Robust Tracking Control for Laser Communication System with Disturbance 期刊论文 OAI收割
IEEE PHOTONICS JOURNAL, 2020, 卷号: 12, 期号: 6, 页码: 13
作者: Zhang, Min; Li, Bo; Tong, Shoufeng

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收藏 | 浏览/下载：32/0 | 提交时间：2021/03/23

Spirals Laser beams Target tracking Uncertainty Heuristic algorithms Actuators Laser modes Optical communication beaconless spatial acquisition composite spiral scanning dynamic tracking assembly multiple-axis control

Optimal design based on closed-loop fusion for velocity bandwidth expansion of optical target tracking system 期刊论文 OAI收割
Sensors (Switzerland), 2019, 卷号: 19, 期号: 1
作者: Mao, Yao; Ren, Wei; Luo, Yong; Li, Zhijun

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收藏 | 浏览/下载：25/0 | 提交时间：2021/05/06

MEMS gyro optical target tracking closed-loop fusion optimal design

A New Disturbance Feedforward Control Method for Electro-Optical Tracking System Line-Of-Sight Stabilization on Moving Platform 期刊论文 OAI收割
SENSORS, 2018, 卷号: 18, 期号: 12, 页码: 4350
作者: Xia, Yunxia; Bao, Qiliang; Liu, Zidong

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收藏 | 浏览/下载：38/0 | 提交时间：2019/08/23

line-of-sight stabilization fast steering mirror electro-optical tracking system disturbance suppression target tracking

LOS stabilization model for ship swaying based on subdivision iterative algorithm 会议论文 OAI收割
作者: Shan Qiao[1,2,3], Shunfa Liu[1,2], Chunsheng Xiang[1,2], Guoming Fang[1,2,3], Yufeng Tan[1,2,3]

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收藏 | 浏览/下载：27/0 | 提交时间：2018/12/20

shipborne optical measuring equipment LOS of stabilization Euler angle left multiplication principle coordinate system conversion target acquisition and tracking

Object tracking algorithm based on contextual visual saliency 期刊论文 OAI收割
Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment, 2016, 卷号: 9684, 页码: 96842O
作者: Fu, Bao; Peng, Xianrong

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收藏 | 浏览/下载：21/0 | 提交时间：2018/06/14

Image Segmentation Manufacture Optical Testing Target Tracking Tracking (Position) Visualization

Research of maneuvering target prediction and tracking technology based on IMM algorithm 期刊论文 OAI收割
Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technology: Optical Test, Measurement Technology, and Equipment, 2016, 卷号: 9684, 页码: 968430
作者: Cao, Zheng; Mao, Yao; Deng, Chao; Liu, Qiong; Chen, Jing

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收藏 | 浏览/下载：123/0 | 提交时间：2018/06/14

Ballistics Fighter Aircraft Forecasting Manufacture Markov Processes Military Applications Optical Testing Target Tracking Tracking (Position) Trajectories Unmanned Aerial Vehicles (Uav) Vehicles

Design of tracking and detecting lens system by diffractive optical method 期刊论文 OAI收割
Proceedings of SPIE: Advanced Optical Design and Manufacturing Technology and Astronomical Telescopes and Instrumentation, 2016, 卷号: 10154, 页码: 101541H
作者: Yang, Jiang; Qi, Bo; Ren, Ge; Zhou, Jianwei

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收藏 | 浏览/下载：62/0 | 提交时间：2018/06/14

Diffractive Optics Feature Extraction Image Resolution Imaging Systems Lenses Manufacture Optical Design Optical Instrument Lenses Optical Systems Radio Telescopes Target Tracking Telescopes

Study on time registration method for photoelectric theodolite data fusion (EI CONFERENCE) 会议论文 OAI收割
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Yang H.-T.; Gao H.-B.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

In range measurement theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method. 2012 IEEE.

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).