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	The new approach for infrared target tracking based on the particle filter algorithm (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: Sun H.; Han H.-X.; Sun H. 收藏 \| 浏览/下载：79/0 \| 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).
	Fusing Edges and Feature Points for Robust Target Tracking 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011 - Advances in Imaging Detectors and Applications, Beijing, China, May 24-26, 2011 作者: Li W(李威); Shi ZL(史泽林); Yin J(尹健); Ding QH(丁庆海) 收藏 \| 浏览/下载：29/0 \| 提交时间：2012/06/06 Point-based tracking Edge-based tracking Texture boundary detection.
	Real time method for airport runway detection in aerial images (EI CONFERENCE) 会议论文 OAI收割 ICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, July 7, 2008 - July 9, 2008, Shanghai, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 In this paper we propose a novel method that combines improved chain codes based edge tracking (ICCBET) with Hough transform (HT) to successfully detect the airport runway in real time. ICCBET primarily removes the short and curving lines to reduce the pixels and confirms the approximate orientation to shorten the angle range HTprocesses in later. Furthermore through using pyramid during HT stage the computation cost is reduced considerably to satisfy real time performance. Finally we fix the memory by designing a chain list array for the image to avoid overflow arise from building chain list with memory dynamic allocation. Experiments on various images show that our method satisfies the real time need with about 23.5 multiples computation reduction contrast to the original Hough transform (OHT) and overcomes the blur to localize the lines with high accuracy contrast to the original chain codes based edge tracking (OCCBET). 2008 IEEE.
	A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Yao Z.-J. 收藏 \| 浏览/下载：55/0 \| 提交时间：2013/03/25 Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However 3. applying the standard Hough transform equation to every point of the input image edge 4. according to the local threshold 6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes traditional Hough transform can only detect the lines 2. quantizing the parameter space and extracting a group of maximums according to the global threshold eliminating spurious peaks which are caused by the spreading effects and will improve the precision of tracking. cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately 5. fixing on the endpoints of the segments according to the dynamic clustering rule which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image parameter and line-segment spaces
	A Robust Method for TV Logo Tracking in Video Streams 会议论文 OAI收割 Toronto, Ontario, Canada, July 9-12, 2007 作者: Jinqiao Wang; Lingyu Duan; Zhenglong Li; Jing Liu; Hanqing Lu \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2017/02/20 Chinese Tv Channel Tv Logo Tracking Video Streaming Logo-based Broadcasting Surveillance Edge-based Template Matching Multispectral Gradient Image Temporal Correlation Trecvid2005 News Corpus