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	Current-Aided Multiple-AUV Cooperative Localization and Target Tracking in Anchor-Free Environments 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 792-806 作者: Yichen Li; Wenbin Yu; Xinping Guan \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2023/03/02 Anchor-free belief propagation cooperative localization current-aided target tracking
	An efficient and target-oriented sample enrichment method for preparative separation of minor alkaloids by pH-zone-refining counter-current chromatography 期刊论文 OAI收割 JOURNAL OF CHROMATOGRAPHY A, 2015, 卷号: 1409, 页码: 159-165 作者: Feng, Rui-Hong; Hou, Jin-Jun; Zhang, Yi-Bei; Pan, Hui-Qin; Yang, Wenzhi \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2019/01/08 Target-oriented sample enrichment method Indole alkaloids pH-zone-refining counter-current chromatography Uncaria rhynchophylla
	磁控溅射沉积BCx薄膜的摩擦学性能期刊论文 OAI收割中国表面工程, 2015, 卷号: 28, 期号: 5, 页码: 16-23 作者: 尚伦霖; 王立平; 张广安; 蒲吉斌收藏 \| 浏览/下载：17/0 \| 提交时间：2015/11/12 BCx薄膜磁控溅射靶电流摩擦学性能 BCx films magnetron sputtering target current tribological properties
	不同Ti靶电流对Ti掺杂类石墨碳膜的结构和性能的影响(英文) 期刊论文 OAI收割 Transactions of Nonferrous Metals society of China, 2012, 卷号: 22, 期号: 6, 页码: 1372-1380 作者: Wang YX(王永欣); Wang LP(王立平); Xue QJ(薛群基) 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/07/12 Ti-doped graphite-like carbon film microstructure tribological performance target current Ti掺杂类石墨碳膜微观结构摩擦学性能靶电流
	Efficient human action recognition using accumulated motion image and support vector machines (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: Zhang X.; Zhang J.; Zhang J.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：68/0 \| 提交时间：2013/03/25 Vision-based human action recognition provides an advanced interface and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set but also proves practical to some real world applications in addition this method is computationally simple and able to achieve a satisfactory accuracy.
	The ship-borne infrared searching and tracking system based on the inertial platform (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: Li Y.; Zhang H.; Zhang H.; Li Y.; Li Y. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 As a result of the radar system got interferenced or in the state of half silent it can cause the guided precision drop badly In the modern electronic warfare therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings but when interference is in the process of radar leading especially the electro-optical equipment is influenced by the roll pitch and yaw rotation it can affect the target appear outside of the field of optoelectronic devices for a long time so the infrared optoelectronic equipment can not exert the superiority and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	An algorithm of calculating the scanning start angle and the scanning angle of linear array CCD panoramic aerial camera (EI CONFERENCE) 会议论文 OAI收割 Optomechatronic Actuators, Manipulation, and Systems Control, October 1, 2006 - October 3, 2006, Boston, MA, United states Zhou G.; Zhai L.-P. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The scanning start angle (SSA) the scanning angle (SA) and the target slope angle (SA) are important parameters of Linear Array CCD Panoramic Aerial Camera. This paper analyzes the relationship of them and suggests that the current method of calculating SA is very difficult to be realized in engineering. It proposes an algorithm of calculating SSA and SA according to TSA. Its main characteristics are with achieving the overlap rate as a premise to calculate SSA and SA reasonably and to try to put the target into the middle of swath coverage making the coverage as wide as possible. The algorithm is very simple and is easy to be realized in engineering. The paper gives us the relationship graph between TSA and SA.
	High-accuracy real-time automatic thresholding for centroid tracker (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Zhang Y. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 Many of the video image trackers today use the centroid as the tracking point. In engineering we can get several key pairs of peaks which can include the target and the background around it and use the method of Otsu to get intensity thresholds from them. According to the thresholds it give a great help for us to get a glancing size a target's centroid is computed from a binary image to reduce the processing time. Hence thresholding of gray level image to binary image is a decisive step in centroid tracking. How to choose the feat thresholds in clutter is still an intractability problem unsolved today. This paper introduces a high-accuracy real-time automatic thresholding method for centroid tracker. It works well for variety types of target tracking in clutter. The core of this method is to get the entire information contained in the histogram we can gain the binary image and get the centroid from it. To track the target so that we can compare the size of the object in the current frame with the former. If the change is little such as the number of the peaks the paper also suggests subjoining an eyeshot-window we consider the object has been tracked well. Otherwise their height just like our eyes focus on a target if the change is bigger than usual position and other properties in the histogram. Combine with this histogram analysis we will not miss it unless it is out of our eyeshot we should analyze the inflection in the histogram to find out what happened to the object. In general the impression will help us to extract the target in clutter and track it and we will wait its emergence since it has been covered. To obtain the impression what we have to do is turning the analysis into codes for the tracker to determine a feat threshold. The paper will show the steps in detail. The paper also discusses the hardware architecture which can meet the speed requirement. the paper offers a idea comes from the method of Snakes