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Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 5003-5017
作者:  Luo, Mandi;  Ma, Xin;  Li, Zhihang;  Cao, Jie;  He, Ran
收藏  |  浏览/下载:27/0  |  提交时间:2021/12/28
Robust moving objects detection in long-distance imaging through turbulent medium 期刊论文
Infrared Physics and Technology, 2019, 卷号: 100, 页码: 87-98
作者:  Xu, Xinggui;  Yang, Ping;  Xian, Hao;  Liu, Yong
收藏  |  浏览/下载:1/0  |  提交时间:2021/05/06
Application of infrared thermal imaging for the rapid diagnosis of crop disease 会议论文
IFAC PAPERSONLINE, 2018-01-01
作者:  Zhu, Wenjing[1];  Chen, Hua[2];  Ciechanowska, Izabela[3];  Spaner, Dean[4]
收藏  |  浏览/下载:49/0  |  提交时间:2019/12/24
Comparing analysis of multispectral and polarimetric imaging for mid-infrared detection blindness condition 期刊论文
APPLIED OPTICS, 2018, 卷号: 57, 页码: 6840-6850
作者:  Zhao, Huijie;  Li, Yansong;  Jia, Guorui;  Li, Na;  Ji, Zheng
收藏  |  浏览/下载:24/0  |  提交时间:2019/12/30
Automatic visible and infrared face registration based on silhouette matching and robust transformation estimation 期刊论文
INFRARED PHYSICS & TECHNOLOGY, 2015, 卷号: 69
作者:  Tian, Tian;  Mei, Xiaoguang;  Yu, Yang;  Zhang, Can;  Zhang, Xiaoye
收藏  |  浏览/下载:11/0  |  提交时间:2019/12/05
Infrared dynamic hand gesture recognition based on Gabor feature and sparse representation 期刊论文
MOBIMEDIA 2015 - 8th International Conference on Mobile Multimedia Communications, 2015
作者:  Shang, Lei;  Liu, Zhi;  Zhang, Haixia
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/17
Non-rigid visible and infrared face registration via regularized Gaussian fields criterion 期刊论文
PATTERN RECOGNITION, 2015, 卷号: 48, 期号: 3
作者:  Ma, Jiayi;  Zhao, Ji;  Ma, Yong;  Tian, Jinwen
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/05
遥感图像中的典型目标识别算法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者:  李伟
收藏  |  浏览/下载:98/0  |  提交时间:2015/09/02
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Dong Y.-X.; Li Y.; Zhang H.-B.
收藏  |  浏览/下载:97/0  |  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).  
Moving object detection of infrared video based on Cauchy distribution 期刊论文
2010, 2010
Ming Ying; Jiang Jing-Jue
收藏  |  浏览/下载:5/0


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