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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 发表日期：2011    内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Research on infrared dim-point target detection and tracking under Sea-Sky-Line complex background 会议论文 董宇星; 李焱; 张海波 收藏  |  浏览/下载：3/0  |  提交时间：2012/05/12 A new video object segmentation algorithm by fusion of spatio-temporal information based on GMM learning 会议论文 2011 International Conference on Automation and Robotics, ICAR 2011, Shanghai 作者:  Zhu qingsong;  Xie yaoqin;  Gu jia;  Wang lei 收藏  |  浏览/下载：5/0  |  提交时间：2015/08/25 The Design of Infrared Touch Screen based on MCU 会议论文 2011 International Conference on Information and Automation, Shenzhen, China 作者:  Zheng Wei;  Wei Liu;  Qing He;  Ning Wei;  Chenxi Wang 收藏  |  浏览/下载：10/0  |  提交时间：2015/08/25 Integrated Approach of Skin-color Detection and Depth Information for Hand and Face Localization 会议论文 2011 IEEE International Conference on Robotics and Biomimetics, Phuket, Thailand 作者:  Dan Xu;  Yen-Lun Chen;  Xinyu Wu;  Yongsheng Ou;  Yangsheng Xu 收藏  |  浏览/下载：14/0  |  提交时间：2015/08/25 The new approach for infrared target tracking based on the particle filter algorithm (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 Sun H.; Han H.-X. 收藏  |  浏览/下载：50/0  |  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).   Research on moving target tracking scene simulation technology under battlefield complicated environment based on Vega (EI CONFERENCE) 会议论文 4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China Wang S.; Wei Y.-J. 收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25 In order to better simulate the real environment of the battlefield  which has moving-target and the complicated background and to simulate the tracking process of the target with 3d's simulation. This paper introduce a development platform of the Vega 3d simulation software  and how to use the Vega to simulate the complex battlefield background  which has the sky  the explosion effects in the ground  the fly parameters of fighter planes. It reappear a complete process  which contains capturing target and tracking target. Experiment indicate that the Vega development platform is convenient and fast  and can achieved the design parameters for the task's demands. It also has many advantages  that contains repeating the performance of real experiment and reducing the expenses of the military experiment. 2011 IEEE.   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：98/0  |  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).   An anisotopic detection method of dim-small infrared targets 会议论文 Proc. of SPIE, 2011 作者:  Qiang Zhang;  Jingju Cai and Qiheng Zhang Qiheng Zhang 收藏  |  浏览/下载：12/0  |  提交时间：2016/11/24 The extracting system design of small dim targets in complex background 会议论文 2011 international conference on mechatronics and materials processing, icmmp 2011, guangzhou, china, november 18, 2011 - november 20, 2011 LiangDongSheng; LiuHui; LiuWen 收藏  |  浏览/下载：10/0  |  提交时间：2012/07/09 Self-adaptive threshold tracking algorithm of infrared weak-small targets 会议论文 mippr 2011: automatic target recognition and image analysis, guilin, china, november 4, 2011 - november 6, 2012 XuZhaohui; ZhangYongkang; TianYan; TangHuijun; WeiJunxia 收藏  |  浏览/下载：13/0  |  提交时间：2012/07/09 Infrared Weak-Small Targets  Self-adaptive threshold  Video tracking  Real time