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An Improved Adaptive Exponential Smoothing Model for Short-term Travel Time Forecasting of Urban Arterial Street

自动化学报 2008年第11期34卷 1404-1409页

作者： LI Zhi-Peng YU Hong LIU Yun-Cai LIU Fu-Qiang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 P.R. China Intelligent Transportation System Department Shanghai Electrical Apparatus Research Institute Shanghai 200063 P. R. China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 P. R. China

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的... 详细信息

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的适应指数的变光滑模型的缺点。然后，比较实验在状况和反常交通调节评估在牌照匹配获得的直接旅行时间数据(每分钟行数) 上预报模型的四个主要分支的性能的正常交通下面被执行。实验的结果证明每个模型似乎有它的自己的力量和软弱。IASE 的预报表演比在更突然预报地平线(预报的和二步) 的另外的模型优异， IASE 能够处理各种交通条件。

关键词：自适应指数平滑模型短期旅行时间预测预测方法信息处理技术城市街道设计方案

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An Algorithm for Object Function Optimization in Mutual Information-Based image Registration

An Algorithm for Object Function Optimization in Mutual Info...

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Congress on image and Signal processing, CISP

作者： Zhiguo Cao Yi Zheng Yong Wang RuiCheng Yan State key Laboratory for Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

image registration is widely used in remote sensing image processing, medical image analysis and many other fields. Mutual information-based image registration technique gained much attention recently. However, during the optimization procedure, because of the influence of interpolation and the changes of overlapping areas in the images, the object function of the mutual information method may converge at local maximums so that wrong transformation parameters are generated as a result. In this paper, an improved simulated annealing–simplex method is proposed to solve this problem. Experiment results show that registration precision can reach to the sub-pixel level.

关键词： image registration Remote sensing image processing Biomedical imaging image analysis Optimization methods Interpolation Mutual information image converters Simulated annealing

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A novel 3D terrain matching algorithm based on image laser radar

A novel 3D terrain matching algorithm based on image laser r...

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7th World Congress on Intelligent Control and Automation (WCICA 2008), vol.17

作者： Junbin Gong Hua Cheng Jie Ma Jinwen Tian State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

The imaging laser radar was an ideal imaging sensor to get the high precision 3D terrain for Terrain aided navigation (TAN). For the application, decreasing the mismatching rate was very important. In this paper, the measurement model of imaging laser radar was introduced and a novel 3D terrain matching algorithm with low mismatching rate was presented. According to the theory of function orthogonal decomposition, a terrain orthogonal decomposition feature vector (TODFV), composed of the orthogonal decomposition coefficients of the digital elevation map (DEM), was employed to represent the features of the terrain. Then TODFV was used to generate an interim matching position vector (IMPV). The IMPV were utilized to do real-time confidence analysis to improve the matching confidence, and were fused to give the final matching at the last. The algorithm could effectively decrease the mismatching rate of terrain matching algorithm, and improved the reliability of TAN. Experiments showed that the algorithm was effective and robust.

关键词： Terrain matching Feature vector image laser radar

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The Design and Implement of 3D Terrain Matching Processor for image Laser Radar

The Design and Implement of 3D Terrain Matching Processor fo...

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Congress on image and Signal processing, CISP

作者： Junbin Gong Yufei Sun Hongbo Xu Jinwen Tian State Key Laboratory for Multi spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

The imaging laser radar is fine measure equipment for TAN with the ability to get the high precision 3D terrain. A 3D terrain matching processor was needed to be designed for the specifical application. In this paper, base on the specialty of the imaging laser radar, the3D terrain matching processor was designed, with scheme of DSP+FPGA calculating engine, multi-level memory system, flexible parallel architecture, and FPGA-embedded accelerators. A parallel correlating accelerator base on 2D modular systolic array and other structures were designed to improve the system performance in FPGA. In the end, with strictly abiding the rules of high-speed circuit designing, the detail physical implement was drawn out. The experiments showed that the system could work well in the harsh military environment with high real-time, high reliability, and flexible architecture.

关键词： Laser radar Optical design Radar imaging Radar equipment Radar measurements Process design Engines Parallel architectures Systolic arrays System performance

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Voronoi-Based Sleeping Configuration in Wireless Sensor Networks with Location Error

Voronoi-Based Sleeping Configuration in Wireless Sensor Netw...

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IEEE International Conference on Networking, Sensing and Control

作者： Xinyu Chen Michael R. Lyu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Department of Computer Science and Engineering Chinese University of Hong Kong Sha Tin Hong Kong China

In wireless sensor networks, to obtain a long network lifetime is a fundamental issue while without sacrificing crucial aspects of quality of service (area coverage, sensing reliability, and network connectivity). In this paper, we present a Voronoi-based sleeping configuration to deal with different sensing radii and location error. With our proposed sleeping candidate condition, redundant sensors are optionally identified and scheduled to sleep in order to extend the system lifetime while maintaining adequate sensor redundancy to tolerate sensor failures, energy depletions, and location error. Simulation results show that there is a tradeoff among energy conservation, area coverage, and fault tolerance, which varies between different sleeping candidate conditions.

关键词： Wireless sensor networks Sensor systems Surveillance Quality of service Redundancy Energy conservation Fault tolerance Sensor phenomena and characterization Batteries image processing

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Dim small targets fusion detection in infrared image

Dim small targets fusion detection in infrared image

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yu-Qiu Sun Yu Zheng Jin-Wen Tian Jian Liu School of Information and Mathematics Yangtze University Jingzhou China State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China State Education Commission Key Laboratory for Image Processing and Intelligent Control Department of Electronic Information and Enginery of Huazhong University of Science and Technology Wuhan China

To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast threshold. The experimental results show that the method proposed in this paper using wavelet transformation fractal dimension to fuse dual band infrared images, and then detect targets is better than using mid-wave or long -wave infrared images detect targets alone.

关键词： Fractals Wavelet transforms Pixel Object detection Fuses Approximation methods Manganese

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A no-reference ringing metrics for images deconvolution

A no-reference ringing metrics for images deconvolution

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International Conference on Wavelet Analysis and pattern recognition (ICWAPR)

作者： Bo-Xin Zuo Jin-Wen Tian De-Lie Ming State Key Laboratory of Education Commission for Image Processing and Intelligent Control Institute For Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

In this paper, we presented a ringing metric to evaluate the quality of images restored using iterative image restoration algorithms. A ringing metrics is used to assessment the restored images based on the Gabor filter. The experimental results validate the proposed method perform well over a wide range of restoration image ringing levels assessment. And the proposed model has given good agreement with observer ratings obtained in subjective experiments.

关键词： image restoration Gabor filters image edge detection Oscillators Deconvolution Maximum likelihood detection Band pass filters

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Efficient Face Segmentation Based on Face Attention Model and Seeded Region Merging

Efficient Face Segmentation Based on Face Attention Model an...

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9th International Conference on Signal processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Zhi Liu Weiwei Li Xiang Zhang Jie Yang School of Communication and Information Engineering Shanghai UniversityChina Key Lab of Advanced Di School of Communication and Information Engineering Shanghai UniversityChina Institute of Image Processing and Pattern Recognition Shanghai Jiaotong UniversityChina

This paper presents an efficient face segmentation approach based on face attention model and seeded region merging.A face attention model that jointly exploits the information of skin color and eye's position is first constructed to obtain a facial saliency map,which indicates the position of possible faces and is used to determine seed *** a seeded region merging algorithm based on regional facial saliency is proposed to generate a sequence of regions,and the region with the highest regional facial saliency is selected to represent each *** results on a variety of images demonstrate the good segmentation performance of the proposed face segmentation algorithm.

关键词： face segmentation face attention model seeded region merging

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Needle Segmentation Using 3D Quick Randomized Hough Transform

Needle Segmentation Using 3D Quick Randomized Hough Transfor...

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International Workshop on Intelligent Networks and Intelligent Systems (ICINIS)

作者： Wu Qiu Mingyue Ding Ming Yuchi Institute for Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan Hubei China Department of Biomedical Engineering School of Life Science and Technology Huazhong University of Science and Technology Wuhan Hubei China

A quick 3D needle segmentation algorithm for 3D US data is described in this paper. The algorithm includes the 3D quick randomized Hough transform (3DGHT), which is based on the 3D randomized Hough transform and coarse-fine searching strategy. We tested it with water phantom. The results show that our algorithm works well in 3D US images with angular deviation less than 1 degree and position deviation less than 1 mm, and the computational time of segmentation with 35 MB data is within 1s.

关键词： Needles image segmentation Electrodes Ultrasonic imaging Intelligent networks Artificial intelligence Educational technology Hemorrhaging Imaging phantoms Radio frequency

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Modeling multisource remote sensing image classifier based on the MDL principle: Theoretical aspects

Modeling multisource remote sensing image classifier based o...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Qian Yin Ping Guo Zhi-Yong Yuan Zu-Kuan Wei Wen-Yi Zeng Image Processing & Pattern Recognition Laboratory Beijing Normal University Beijing China School of Computer Science Wuhan University of China Wuhan China School of Comp. Science & Engr. University of Electronic Science and Technology Chengdu China

A theoretical study for modeling technique of the remote sensing image classification based on the minimum description length (MDL) principle is presented in the paper. According to the MDL principle, modeling problem is an optimization procedure to find the shortest expected code length. Kullback-Leibler (KL) divergence is adopted as the system cost function to measure expected codelength, and the codelength will be the model we desired. The advantage of using the MDL principle to build appropriate model is analyzed theoretically, model optimization technique also is described.

关键词： Data models Remote sensing Mathematical model Classification algorithms Computational modeling Equations Artificial neural networks

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