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A novel automatic motion segmentation method based on optical flow

A novel automatic motion segmentation method based on optica...

引用

International Conference on Multimedia Technology

作者： Lu, Haifeng Zhang, Tianxu Yao, Cong State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424478743

Motion segmentation is one of the fundamental problems in digital image processing area. The estimation of velocity field is one of the most notable approaches on the first step of motion segmentation. A novel motion segmentation method is proposed, which is nonparametric and automatically selects value of the segmentation criterion. In particular, we first employ the optical flow to estimate the motion field;then we establish a segmentation criterion and measure the difference between regions of the moving objects and background separated in the segmentation criterion at each level;next we adopt the level of the segmentation criterion which makes the two regions the most different;finally, our approach output regions of moving objects and background from the scene. Experimental results demonstrate that our method is effective, and the procedure is much simpler than the methods often used. ©2010 IEEE.

关键词： Optical flows

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A high performance fully pipelined architecture for lossless compression of satellite image

A high performance fully pipelined architecture for lossless...

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2010 International Conference on Multimedia Technology, ICMT 2010

作者： Wang, Ze Zhang, Tianxu Yan, Luxin Gong, Cheng State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424478743

This paper presents a novel hardware implementation of the adaptive JPEG-LS in field programmable gate array (FPGA), based on the low complexity lossless compression for images (LOCO-I) compression scheme. Differently from what previously reported in literature, this design achieves a much lower complexity and super high data throughput through an improved prediction model by breaking the feedback loop of context parameters updating. The processing speed of this design is up to 75Mpixels per second, while the compression ratio is slightly lower than the standard JPEG-LS compression. Performance evaluation also indicates that design complexity and compression efficiency can be taken account at the same time to achieve satisfactory result. Such an implementation could be used for high-speed compression of satellite remote sensing image onboard. ©2010 IEEE.

关键词： Image compression

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A method of ground-based space object opho-electronic imaging simulation

A method of ground-based space object opho-electronic imagin...

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International Conference on Multimedia Technology

作者： Zhang, Putao Zhang, Tianxu State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424478743

It is very necessary to observe, tracking and recognise interested space object including space debris around the earth. A simulation method about ground-based sensor observing, tracking and imaging space object is researched. It includes the visibility analysis of space object in the STK scene, the attitude description mode of object, the data alternant form and format between STK and Vega, the imaging method of the object through Vega and the visual realization of the process. ©2010 IEEE.

关键词： Space debris

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An accurately located method and secure scheme for image authentication

An accurately located method and secure scheme for image aut...

引用

International Conference on Multimedia Technology

作者： Wang, Zuxi Wang, Wenzong Dong, Liefeng Ye, Peng Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Wuhan China Ningbo Polytechnic Ningbo China

ISBN: (纸本)9781424478743

A novel authentication watermarking scheme for images is proposed in this paper, which holds accuracy location and high security at the same time. In the scheme, different keys are selected for different host data, and the generation and insertion of watermark is dependent on the selected key. Analyzing different pieces of watermarked data in order to launch an attack becomes impossible because of the lack of common characteristics in these pieces. Beside, to increase the security of system, the chaos technology is used to encrypt the watermark and shuffle the location of embedding. A method for tamper detecting based on the running window is proposed in the scheme. Not only can it distinguish malicious attacks from unintentional attacks, but also it can locate the tampered area accurately. Experimental results show this semi-fragile watermarking algorithm is effective and practical for content authentication. ©2010 IEEE.

关键词： Authentication

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Second order morphology algorithm for IR small target enhancement in sea clutter background

Second order morphology algorithm for IR small target enhanc...

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2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010

作者： Xiao, Zhou Xingang, Mou Guilin, Zhang Natl. Key Laboratory of Science and Technology on Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424452354

The framework of a second order morphology algorithm is proposed to enhance the dim small infrared target in sea clutter background with strong detector noise. First, a morphological filters bank is given. Each filter in the bank is designed to suppress its corresponding type texture. The second order process can be accomplished in two steps. The original infrared image is first filtered using each filter separately, and then the first order result is obtained by the combination of the filtered result images. The other step is essentially the same as the first one except the combination manner of the filtered result images. Second, the traditional SNR gain based evaluation of different small target enhancement algorithms is examined and a more reasonable method based on the distance between the target and the maximal background (DTMB) is described in this paper. Third, using the new evaluation method, the comparison is given by experiment through a sequence of infrared images with a dim small target. Experimental results demonstrate that the new proposed algorithm performs better in sea clutter background with strong detector noise than the traditional ones. © 2010 IEEE.

关键词： Morphology

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On realization of visualization system for global ocean simulation

On realization of visualization system for global ocean simu...

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International Conference on Audio, Language and Image processing

作者： Ming, De-Lie Gao, Peng-Fei Wang, Mi State Key Laboratory for Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei Province 430074 China

ISBN: (纸本)9781424458653

Simulating and rendering realistic ocean is always one of the most popular and difficult tasks in computer graphics and oceanography. However, because of the restriction of computer software and hardware conditions, mass data and real-time, there are less people to research global ocean simulation. Under the background of global environment simulation, the paper describes a solution for the application of global ocean simulation on the basis of previous work, and realizes the visualization system successfully using OSG (OpenSceneGraph) API and all kinds of open-source libraries, and demonstrates the result of cross-sea flight. At last, we analysis the deficiencies of our solution and make some improvement suggestions. ©2010 IEEE.

关键词： Computer hardware

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An image-sequence compressing algorithm based on homography transformation for unmanned aerial vehicle

An image-sequence compressing algorithm based on homography ...

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International Symposium on Intelligence Information processing and Trusted Computing

作者： Gong, Junbin Zheng, Chenlin Tian, Jinwen Wu, Dingxue Institute for Pattern Recognition and Artificial Intelligence National Key Laboratory of Science and Technology on Multi-spectral Information Processing Huazhong University of Science and Technology Wuhan 430074 China College of Computer Science and Technology Huanggang Normal University Huanggang 438000 China

ISBN: (纸本)9780769541969

Focus on the image compressing problem of unmanned aerial vehicle with high compression ratio, fixed compressing ratio and low computational complexity requirement, a low-complexity image-sequence compressing algorithm based on homography transformation was proposed. The image sequences were dynamically divided into framegroups according the data from airborne inertial navigation systems, and the intermediate frames in the same frame-group was bi-directionally predicted by the first-frame and the end-frame with homography transformation. The homography matrix was got approximately by the airborne inertial navigation systems firstly and then was accurately computed by fast multiple sub-areas template matching. At the end the first frame and the residual images of the intermediate frames of the same frame-group was merged into a big image and coded by JPEG2000 to generate fixed-size code streams. The experiment results show that the proposed algorithm was with high compression performance, low computational complexity and excellent capacity for code-size control and will has good prospect in engineer. © 2010 IEEE.

关键词： Image compression

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Design and implementation of knowledge base for target recognition in remote sensing images

Design and implementation of knowledge base for target recog...

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Chen, Shaobin Cai, Chao Li, Erlang Ding, Mingyue Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology State Key Laboratory for Multi-spectral Information Processing Technologies Wuhan 430074 China School of Life Science and Technology of Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424459346

In this paper, the knowledge modeling, architecture design and detailed implementation of an ontology-based knowledge base for target recognition in remote sensing images is presented. Knowledge base is a critical component of a large ground target recognition system which is a hybrid system that combines knowledge base with remote sensing image processing module. The knowledge base provides necessary knowledge for remote sensing image processing module, and remote sensing image processing module can perform multiple tasks with the support of the knowledge base. The existence of the knowledge base makes the whole recognition system more flexible and more generic than those systems without knowledge base. The effectiveness of the presented knowledge base shows the good prospect of the application of knowledge base in remote sensing image processing domain. ©2010 IEEE.

关键词： Knowledge based systems

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Sub-manifold distance based object recognition in clutter

Sub-manifold distance based object recognition in clutter

引用

International Conference on Natural Computation

作者： Zhou, Hua Cai, Chao Ding, Mingyue National Lab for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Imaging Processing and Intelligence Control Key Laboratory of Education Ministry School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424459612

Object recognition is challenging problem in computer vision due to appearance variation and presence of visual clutter and occlusions. Recently manifolds are thought to be fundamental for visual perception, and manifold learning algorithms are developed for discovering intrinsical features. Selective visual attention mechanism provides tools to reduce computation cost and avoid the influence of clutter background. In this paper, we described a new object recognition method, the submanifold distance (SMD) algorithm, which is induced by the visual attention mechanism to provide complex object recognition. Experiments with airport remote sensing images illustrated that our proposed algorithm can recognize complex objects accurately, robustly and quickly. ©2010 IEEE.

关键词： Object recognition

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Thresholding Using Two-Dimensional Histogram Based on Local Entropy

Thresholding Using Two-Dimensional Histogram Based on Local ...

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International Asia Conference on Informatics in Control, Automation, and Robotics

作者： Zhao Cheng Tianxu Zhang Luxin Yan State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology

ISBN: (纸本)9781424451920;9781424451937

Image Segmentation is a basal research in image processing domain. The outcome of segmentation has an immense effect on the posterior image processing. Focusing on gray-level image adaptive segmentation, in this paper, a new gray-level image segmentation algorithm using 2-D histogram thresholding based on local entropy (GLLE) is proposed. Some comparative experiments using typical image are implemented and the results are shown at the end of this paper. The results of comparative experiment demonstrate that the GLLE method can segment the target area much more intactly than the classical methods. Furthermore, the GLLE method also has the ability of anti-illumination.

关键词： Image Segmentation Local Entropy 2-D Histogram

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