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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 内容类型：会议论文    专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     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 The real-time Complex cruise scene motion detection system Based on DSP 会议论文 International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, IPTA 2014, May 13, 2014 - May 15, 2014, Beijing, China Wu Z.-G.; Wang M.-J. 收藏  |  浏览/下载：11/0  |  提交时间：2015/04/27 The research of multi-frame target recognition based on laser active imaging 会议论文 5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013, June 25, 2013 - June 27, 2013, Beijing, China, June 25, 2013 - June 27, 2013 Wang C.-J.; Sun T.; Wang T.-F.; Chen J. 收藏  |  浏览/下载：9/0  |  提交时间：2014/05/15 A model updating algorithm based on moving area analyze 会议论文 5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013, June 25, 2013 - June 27, 2013, Beijing, China Liu W.-N. 收藏  |  浏览/下载：12/0  |  提交时间：2014/05/15 The technology of forest fire detection based on infrared image 会议论文 Conference Location, 2013 Wu Z. G.; Liu G. J.; Wang M. J.; Wang S. J. 收藏  |  浏览/下载：22/0  |  提交时间：2014/05/22 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).   An automatic pedestrian detection and tracking method: Based on mach and particle filter (EI CONFERENCE) 会议论文 2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China Han Q.; Yao Z. 收藏  |  浏览/下载：10/0  |  提交时间：2013/03/25 This paper introduces a pedestrian detecting and tracking approach. Correlation filters present the composite properties which have been successively used in target detection. Particle filter are combined to locate the targets in real-time. Our contribution is proposing a general algorithm that is able to detect and track pedestrians in clutter environments. We also create a different view pedestrian dataset. Experiments show our algorithm is comparative when there is block and occlusion in tracking. 2011 IEEE.   Design of real-time small target detection system for infrared image based on FPGA (EI CONFERENCE) 会议论文 2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010, May 10, 2010 - May 11, 2010, Wuhan, China Qu F.; Liu J.; Xu H.; Ye X.; Yang D.; Wang J.; Piao R.; Wu H.; Sun Q. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 A simple detection measurement is developed for realtime small target detection in infrared background  which can be easily available on FPGA. Basing on the difference between target and background  a predictive background is generated via restraining the infrared background with median filter  and then global threshold segmentation is used to residual image for further processing. Taking advantage of the relationship of targets in frames  a comprehensive analysis of residual image is made  and then the precise position of target is got by removing pseudo-objectives. Experiment results show that the method is simple to apply to hardware system  improve the system's false alarm rate and meet the requirements of practical engineering. 2010 IEEE.   Adaptive segmentation algorithm for ship target under complex background (EI CONFERENCE) 会议论文 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China Wang A.-B.; Wang C.-X.; Su W.-X.; Dong Y.-F. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 Segmentation of ship target under complex background has important research significance in long-range ship tracking and identification  and an adaptive segmentation algorithm is proposed according to background images with different complexity. Local complexity of image is first calculated in this algorithm  and then the original image is preprocessed with different de noising methods according to local complexity  finally the image is binarized based on local complexity and the target is segmented. The experiment results indicate that the algorithm is adaptive and can meet the requirements of real-time processing  which lays a foundation for ship target detection under complex background. 2010 IEEE.   Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Dong Y.; Chuan W. 收藏  |  浏览/下载：12/0  |  提交时间：2013/03/25 In Video tracking  detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field  feature histogram of luminance is as observe vector and used posterior estimate. In this paper  the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling  scale and partial occlusion. 2010 IEEE.   Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Zhang S.-Y.; Liu W.-N.; Xue X.-C. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper  in view of the low-flying target near the sea is always above the sea-level line  we can first locate the sea-level line  and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed  and the executive time of target segmentation is also much reduced. A new method is proposed  which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR  and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line  lastly uses the centroid tracking algorithm to detect and track the target. In the experiment  high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast  and eliminate the negative impact of the clutter caused by waves and clouds  and capture and track target real-timely and accurately.