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	Robust object tracking via multi-scale patch based sparse coding histogram 期刊论文 OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 10, 页码: 12181-12203 作者: Wang, Zhongpei; Wang, Hao; Tan, Jieqing; Chen, Peng; Xie, Chengjun 收藏 \| 浏览/下载：34/0 \| 提交时间：2018/05/25 Object Tracking Multi-scale Patch Sparse Coding Histogram Appearance Model
	An algorithm of non-continuous gray-scale histogram enhancement based on the visual characteristics 会议论文 OAI收割作者: Li Y; Li Z; Tang XY \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2018/11/20 Non-continuous gray-scale histogram Visual characteristics curve Central segment histogram enhancement Gray-scale compression Image enhancement Infrared
	A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文 OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者: Fan XP(范晓鹏); Cai TF(蔡铁峰); Zhu F(朱枫) 收藏 \| 浏览/下载：48/0 \| 提交时间：2013/12/26 The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.
	An adaptive edge detection method based on Canny operator (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Civil Engineering and Building Materials, CEBM 2011, July 29, 2011 - July 31, 2011, Kunming, China 作者: Chen Y. 收藏 \| 浏览/下载：48/0 \| 提交时间：2013/03/25 This paper proposes an adaptive Canny operator edge detection algorithm. The proposed method can automatically set the threshold value according to the different image gray-scale gradient histogram adaptively and improve the performance in the detail edge detection and good localization. Experiments show that this method produces better edge detection results performance than the Otsu method. Besides our method Roberts operator Prewitt operator Sobel operator Log operator and Canny operator based on Otsu algorithm are also tested for comparisons. (2011) Trans Tech Publications Switzerland.
	Local histogram based geometric invariant image watermarking 期刊论文 OAI收割 signal processing, 2010, 卷号: 90, 期号: 12, 页码: 3256-3264 作者: Deng, Cheng; Gao, Xinbo; Li, Xuelong; Tao, Dacheng 收藏 \| 浏览/下载：178/44 \| 提交时间：2011/01/11 Image watermarking Scale space Feature detector Local regions Histogram modification Geometric attacks
	Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文 OAI收割 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：26/0 \| 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.
	Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China Wu C.; Sun H.-J.; Yang D. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 In Video tracking detection and tracking need two algorithms. The process is complex and need much time which detection and tracking is. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance and of location. Particle filter-based method implements detection and tracking. In order to reduce process time and think of pixel position in tracking field feature histogram of color-based is as observe vector and used posterior estimate. The experimental results confirm that method can detect and track object in 17.68ms successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2009 SPIE.
	Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.
	Modeling vegetation cover distribution at different scales based on Bayesian statistical inference 会议论文 OAI收割 Igarss 2004: Ieee International Geoscience and Remote Sensing Symposium Proceedings, Vols 1-7: Science for Society: Exploring and Managing a Changing Planet, New York Zhang, XY; Yan, GJ; Mu, XH; Wan, HW; Shi, H; Mao, DF; Li, XW 收藏 \| 浏览/下载：23/0 \| 提交时间：2014/12/07 binominal distribution Bayesian theory negative binominal distribution Beta distribution vegetation cover scale histogram