中国科学院机构知识库网格系统: 检索

Research on distributed space objects detection technology based on optical fiber image bundles 会议论文 OAI收割
Kunming, China, 2021-12-07
作者: Wang, Huawei; Ma, Yingjun; Liao, Jiawen; Gao, Bo; Fang, Yao

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收藏 | 浏览/下载：76/0 | 提交时间：2022/04/27

Multi-aperture Optical fiber image bundles Optical lens Objects detection Camera

Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks 期刊论文 OAI收割
IEEE SENSORS JOURNAL, 2019, 卷号: 19, 期号: 18, 页码: 8303-8316
作者: Diao, Jin; Zhao, Deng; Wang, Junping; Nguyen, Hien M.; Tang, Jine

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收藏 | 浏览/下载：58/0 | 提交时间：2019/12/16

Boundary detection continuous objects IoT sensing networks energy efficiency

Space Target Detection in Complicated Situations for Wide-Field Surveillance 期刊论文 OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 123658-123670
作者: M.Y.Li; C.X.Yan; C.H.Hu; C.Y.Liu; L.Z.Xu

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收藏 | 浏览/下载：28/0 | 提交时间：2020/08/24

Space target detection,wide-field surveillance,complicated situations,spatiotemporal pipeline,multistage hypothesis testing (MHT),domain awareness,debris detection,tracking,algorithm,objects,Computer Science,Engineering,Telecommunications

HODetector: The Hidden Objects Detection Based on Static Semantic Information Library Outside Virtual Machine 期刊论文 OAI收割
JOURNAL OF INTERNET TECHNOLOGY, 2018, 卷号: 19, 期号: 5, 页码: 1393-1400
作者: Li, YongGang; Cui, ChaoYuan; Sun, BingYu; Li, WenBo

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收藏 | 浏览/下载：34/0 | 提交时间：2019/12/25

Virtualization Fine-Grained detection Semantic gap Rootkit Hidden objects detection

Learning Coexistence Discriminative Features for Multi-Class Object Detection 期刊论文 OAI收割
IEEE ACCESS, 2018, 卷号: 6, 页码: 37676-37684
作者: Yao, Chao; Sun, Pengfei; Zhi, Ruicong; Shen, Yanfei

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收藏 | 浏览/下载：19/0 | 提交时间：2019/12/10

Object detection faster R-CNN coexistence relation multi-class objects class attention map

Image Optimization under APC Constraint 会议论文 OAI收割
IPCV'15 - The 19th International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, USA, July 27-30, 2015
作者: Cai TF(蔡铁峰); Zhu F(朱枫); Hao YM(郝颖明); Fan XP(范晓鹏)

收藏 | 浏览/下载：15/0 | 提交时间：2015/12/16

Image optimization objects detection and recognition image enhancement

Performance evaluation of image enhancement methods for object detection and recognition 会议论文 OAI收割
Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015
作者: Cai TF(蔡铁峰); Zhu F(朱枫); Hao YM(郝颖明); Fan XP(范晓鹏)

收藏 | 浏览/下载：16/0 | 提交时间：2015/11/18

contrast enhancement objects detection and recognition performance evaluation

Research on Abandoned and Removed Objects Detection Based on Embedded System 会议论文 OAI收割
Qingdao, China, October 8-11, 2014
作者: Bin Hu; Yiyue Li; Zizhang Chen; Gang Xiong; Fenghua Zhu

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收藏 | 浏览/下载：16/0 | 提交时间：2016/11/09

Objects Detection

Visual Attention based Model for Target Detection in High Resolution Remote Sensing Images 会议论文 OAI收割
Proceedings of International Conference on Computer Vision in Remote Sensing, New York
Ke, Xin; He, Guojin

收藏 | 浏览/下载：28/0 | 提交时间：2014/12/07

Visual Attention Target Detection Bottom-up Top-down Saliency map OBJECTS RECOGNITION SCENES

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (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: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：108/0 | 提交时间：2013/03/25

Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).