检索结果-内蒙古大学图书馆

MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Fu, Yangguang Ding, Mingyue Zhou, Chengping Cai, Chao Sun, Yangguang Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

Based on quantum-behaved particle swarm optimization (QPSO), a novel path planner for unmanned aerial vehicle (UAV) is employed to generate a safe and flyable path. The standard particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) are presented and compared through a UAV path planning application. Every particle in swarm represents a potential path in search space. For the purpose of pruning the search space, constraints are incorporated into the pre-specified cost function, which is used to evaluate whether a particle is good or not. As the system iterated, each particle is pulled toward its local attractor, which is located between the personal best position (pbest) and the global best position (gbest) based on the interaction of particles' individual searches and group's public search. For the sake of simplicity, we only consider planning the projection of path on the plane and assume threats are static instead of moving. Simulation results demonstrated the effectiveness and feasibility of the proposed approach. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Refining Content Based image Retrieval via Semi-Supervised Learning

Refining Content Based Image Retrieval via Semi-Supervised L...

引用

European signal processing conference

作者： Songhao Zhu Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University 800 Dong Oman Road 200240 Shanghai China

ISBN: (纸本)9781617388767

Content-based image retrieval plays a key role in the management of a large image database. However, the results of existing approaches are not as satisfactory for the gap between visual features and semantic concepts. Therefore, a novel scheme is here proposed. First, to tackle the problem of large computational cost involved in a large image database, a pre-filtering processing is utilized to filter out the most irrelevant images while keeping the most relevant ones. Second, the relevance between the query image and the remaining images is measured and the obtained relevance scores are stored for a later refinement processing. Finally, a semi-supervised learning algorithm is utilized to refine candidate ranking by taking into account both thepairwise information of unlabeled images and the relevance scores between the input query image and unlabeled images. Experiments conducted on a typical Corel dataset demonstrate the effectiveness of the proposed scheme.

关键词： Semi-supervised Learning content-based image retrieval visual databases image retrieval Refining Purification

来源：评论

学校读者我要写书评

暂无评论

Skeleton-based fast path planning for UAV

Skeleton-based fast path planning for UAV

引用

MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Liu, Xin Zhou, Chengping Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

A new path planning method for UAV in static workspace is presented. The method can find a nearly optimal path in short time which satisfies the UAV kinematic constraints. The method makes use of the skeletons to construct the graph of the planning space considering the configuration of the obstacles and utilizes the graph to find a shortest collision-free path, and a novel technique is utilized to convert the free path into a feasible path. The method can be applied to different applications and easy to be implemented. Experimental results showed that the path planning can be done in a fraction of second on a contemporary workstation (2-3 seconds) under the condition of satisfying the kinematic constraints. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Analysis of second order motion

引用

Moshi Shibie yu Rengong Zhineng/pattern recognition and Artificial Intelligence 2009年第3期22卷 344-348页

作者： Sun, Bin Sang, Nong Li, Zheng Zheng, Qing-Qing State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

The study of the second order motion in biological vision is a new source of inspiration for algorithms and research directions in computer vision. In this paper, the second order motion can be divided into three typical group according to the modulation types: spatial modulate motion, temporal modulate motion and spatio-temporal modulate motion. Experiments are conducted on the first order motion perception based on correlation model and the second order motion perception by correlation model preceded with a nonlinear process called texture grabber. The computational results are consistent with the previous suggestion that the second order motions are processed by nonlinear system.

关键词： Modulation

来源：评论

学校读者我要写书评

暂无评论

Use Fukunaga-Koontz Transform to Solve Occlusion Problems in Multitarget Tracking

Use Fukunaga-Koontz Transform to Solve Occlusion Problems in...

引用

Chinese Conference on pattern recognition (CCPR)

作者： Yan Zhang Fanglin Wang Shengyang Yu Third Research Institute of Ministry of Public Security Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

For multitarget tracking problems, occlusions between targets are quite tough tasks. We present a novel algorithm to solve such problems. For the two targets in occlusions, Fukunaga-Koontz transform is exploited to achieve the projection matrix, with which the two targets are projected into a low dimensional space where they are quite distinguishing. To solve the problem of the change of target appearance, the eigenspace model is used as the probabilistic observation model, with which the algorithm can learn the changes of the target appearance online. These two procedures are evaluated in the particle filter based tracking framework. Experimental results demonstrated the effectiveness of our algorithm.

关键词： Target tracking Yttrium Particle filters Particle tracking Application software Equations Security image processing pattern recognition Computer vision

来源：评论

学校读者我要写书评

暂无评论

A new tracking method for small infrared targets

A new tracking method for small infrared targets

引用

IEEE International Conference on image processing

作者： Lei Yang Weiping Lu Jie Yang Physics Department EPS Heriot-Watt University Edinburgh UK Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China

We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region. We have further developed a nonlinear algorithm to improve the robustness of the traditional mean-shift tracker for small infrared targets. Experimental results demonstrate a superior performance of our method compared to existing target trackers, particularly in the environment of strong measurement noise and large variation of illumination.

关键词： Target tracking Noise robustness Noise measurement Lighting Video sequences Kalman filters Filtering Particle measurements Working environment noise Robust stability

来源：评论

学校读者我要写书评

暂无评论

Systematic methodology of multi-source information fusion for improving older drivers' safety

Systematic methodology of multi-source information fusion fo...

引用

IEEE Symposium on Intelligent Vehicle

作者： Li Xu Qunfei Zhao Chengbin Ma Fangfang Lu Institute of Image Processing and Pattern Recognition Shandong Jiaotong University Shanghai China UM-SJTU Joint Institute Shandong Jiaotong University Shanghai China

ISBN: (纸本)9781424435036

Drivers over the age of 65 are increasing rapidly in numbers and they are inclined to be involved in accidents frequently. In this paper, a multi-source information fusion model to improve the driving safety for older drivers is proposed. First, the influences of surrounding features, such as traffic and weather, on the driving safety are analyzed and the surrounding driving safety degree (SDSD) is proposed to represent it. Second, we analyze the effect of driving behavior characters on the driving safety and name it as the driving behavior safety degree (DBSD). Then we propose a fuzzy information fusion method to evaluate the driver safety degree (DSD) based on the evaluation results of SDSD and DBSD. The fuzzy reasoning rules can be adjusted to satisfy different drivers through analyzing the driving behavior and history traffic accident logs collected. We test our methods based on the data sets collected from the American National Highway Traffic Safety Administration (NHTSA) and the experimental results show that the proposed method is more efficient in improving the older driver's safety.

关键词： Vehicle safety Road accidents Vehicle crash testing Traffic control US Department of Transportation Road safety Automobiles Aging Alarm systems Intelligent vehicles

来源：评论

学校读者我要写书评

暂无评论

A NEW LOCALIZED PHASE CONGRUENCY BASED OBJECT DETECTOR FOR X-RAY imageS

A NEW LOCALIZED PHASE CONGRUENCY BASED OBJECT DETECTOR FOR X...

引用

2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： XUE TIAN XU YANG Institute of Electrical and Mechanical Engineering Jiaxing University Jiaxing 314001 China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai 200240

In this paper, we present a novel method for automatically computing phase congruency at appropriate scales and orientations. Compared with Kovcsi's phase congruency method, there are two distinct improvements in our method. First, our local phase information can be evaluated in a rotation invariant manner. Therefore, no orientation sampling is required. Second, the phase congruency is computed in a localized way, so there is no need to take all scales into consideration. Thus the computation load is reduced greatly and in the meanwhile this method can gain sub-pixel accuracy. We apply our algorithm to the endotracheal tube detection on X-ray image. Comparative experimental results show the efficiency of our method.

关键词： Phase congruency Feature eztraction Object detection image processing Scale space

来源：评论

学校读者我要写书评

暂无评论

Predicting Soft Tissue Deformation Based on an Improved Biomechanical Model

Predicting Soft Tissue Deformation Based on an Improved Biom...

引用

International Conference on Information Technology and Computer Science, ITCS

作者： Shengzheng Wang Jie Yang Chaojian Shi Merchant Marine College Shanghai Maritime University Shanghai China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

This paper presents an improved biomechanical model for the prediction of the soft tissues in the plastic surgical simulator. The new model is built on nonlinear finite mixed-element method (NFM-EM) in which the internal soft tissues (muscles and fat) are discretized into tetrahedral solid elements and the skin tissues into triangular shell elements, which distinguishes between the internal soft tissues and the skin in their geometrical structures, and addresses the non-homogenous problem of the facial soft tissues in their biomechanical characteristics. Moreover, after the investigation of the three different nonlinear strain-potential models, the biomechanical characteristics of the skin and the internal soft tissues are modeled with the most suitable one. The quantitative validation and the comparative results with other models illustrated the effectiveness of the approach on the simulation of complex cranio-facial surgery.

关键词： Biological tissues Deformable models Predictive models Skin Muscles Surgery Solid modeling Plastics Content addressable storage Biological materials

来源：评论

学校读者我要写书评

暂无评论

A shadow detection method for remote sensing images using Affinity Propagation algorithm

A shadow detection method for remote sensing images using Af...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Huaiying Xia Xinyu Chen Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China

Shadow detection in high spatial resolution remote sensing image is very critical for locating geographical targets. In this paper, we proposed a new shadow detection method using Affinity Propagation (AP) algorithm in the Hue-Saturation-Intensity (HSI) color space. Because the pixel matrix is a large-scale matrix, if we apply AP algorithm directly on the raw pixel space, it will be computation intensive to calculate the similarity matrix. To solve this problem, we propose to divide the matrix into several blocks and then applying AP to detect shadows in H, S and I components respectively. Then, three detected images are fused to obtain a final shadow detection result. Comparative experiments are performed for K-means and threshold segmentation methods. The experimental results show that higher detection accuracy of the proposed approach is obtained, and it can solve the problems of false dismissals of K-means and threshold segmentation method.

关键词： Remote sensing image segmentation Space technology Shape Color Layout Histograms image processing Spatial resolution Object detection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：