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International Conference on pattern recognition

作者： U. Thonnessen D. Ernst H. Gross Research Institute for Information Processing Pattern Recognition FIM/FGAN Germany Res. Inst. for Inf. Processing & Pattern Recognition FIM/FGAN Ettlingen Germany

This paper describes an approach for image sequence processing, which extracts objects (or parts of objects) from the image sequence, generates motion-specifically attributed tracks (location/time course) and derives a hierarchy of motion. The base consists of object-characterizing segments which are determined by a multiple threshold method. This method yields feature descriptions for each segment. Based on this description, an association of the segments from frame to frame is done. The resulting motion vectors are concatenated as long as the features of the segments and the motion-specific attributes do not change significantly. In a subsequent step the analysis of motion-specific interrelations between the tracks is executed. The event recognition is processed and controlled by event models. In conformity with motion concepts the hypotheses of events are initialized by motion dependent changes of the tracks.< >

关键词： image segmentation image sequences Tracking Data mining Concatenated codes Layout Information processing pattern recognition image generation Motion analysis

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Efficient collision detection for soft tissue simulation in a surgical planning system

Efficient collision detection for soft tissue simulation in ...

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11th IEEE International Conference on Computer-Aided Design and Computer Graphics(第11届IEEE国际计算机辅助设计与图形学学术会议 IEEE CAD/GRAPHICS 2009)

作者： Shengzheng Wang Jie Yang Merchant Marine College Shanghai Maritime University Shanghai 200135 China Inst. Of Image Proces Inst. of Image Processing & Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 Ch

In the field of cranio-maxillofacial surgery, there is a huge demand from surgeons to be able to automatically predict the post-operative face appearance in terms of a pre-specified bone-remodeling plan. Collision detection is a promising means to achieve this simulation. In this paper, therefore, an efficient collision detection method based on a new 3D signed distance field algorithm is proposed to accurately detect the contact positions and compute the penetration depth with the moving of the bones in the simulation, and thus the contact force between the bones and the soft tissues can be estimated using penalty methods. Thereafter, a nonlinear finite element model is employed to compute the deformation of the soft tissue model. The performance of the proposed collision detection algorithm has been improved in memory requirements and computational efficiency against.the conventional methods. In addition, the proposed approach has the superior convergence characteristics against.other methods. Therefore, the usage of the collision detection method can effectively assist surgeons in automatically predicting the pos-operative face outline.

关键词： Signed distance field collision detection soft tissue prediction surgical simulation

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Scene-adaptive detection and tracking of small target with moving imaging platform

Scene-adaptive detection and tracking of small target with m...

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MIPPR 2009 - Automatic Target recognition and image Analysis: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Luo, Jiao Wang, Yuehuan Yao, Wei Zhang, Tian-Xu Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China State Key Lab. of Multi-spectral Information Processing Technology Wuhan 430074 China

ISBN: (纸本)9780819478061

At present, the detection and tracking of small target is developing rapidly and being widely used. In this paper, we proposed a real-time scene adaptive method for infrared small target detection and tracking in sea/sky background, while the imaging platform is moving at high speed. We use combination of scene recognition and the scene optimized target detection and tracking to realize scene adaptation. In this algorithm, we recognize the scene at first. By detecting the straight line through the image we can identify whether there exists a sea-sky line and recognize reflection of sunlight by detecting obvious texture at the same time. The results show that this algorithm can recognize the scene and realize the scene adaptive detection and tracking. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Target tracking

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Feature validity analysis based on target recognition of remote sensing image

Feature validity analysis based on target recognition of rem...

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

作者： Yao, Wei Wang, Yuehuan Wang, Hai Sang, Nong Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China State Key Lab. of Multi-spectral Information Processing Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

A method of feature validity analysis is proposed in this research. More than 100 kinds of features which are commonly used in the remote sensing image analysis have been selected. In this process, we choose level set and Otsu segmentation methods to extract the target and use manually segmented target images as templates, based on the method, we can make a evaluation of these features validity especially the stability in multi-resolution. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image analysis

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VISUAL OBJECT TRACKING WITH ONLINE LEARNING ON RIEMANNIAN MANIFOLDS BY ONE-CLASS SUPPORT VECTOR MACHINES

VISUAL OBJECT TRACKING WITH ONLINE LEARNING ON RIEMANNIAN MA...

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IEEE International Conference on image processing

作者： Yixiao Yun Keren Fu Irene Yu-Hua Gu Jie Yang Dept. of Signals and Systems Chalmers Univ. of Technology Inst. of Image Processing & Pattern Recognition Shanghai Jiao Tong Univ.

ISBN: (纸本)9781479957521

This paper addresses issues in video object tracking. We propose a novel method where tracking is regarded as a one-class classification problem of domain-shift objects. The proposed tracker is inspired by the fact that the positive samples can be bounded by a closed hypersphere generated by one-class support vector machines (SVM), leading to a solution for robust learning of target model online. The main novelties of the paper include: (a) represent the target model by a set of positive samples as a cluster of points on Riemannian manifolds;(b) perform online learning of target model as a dynamic cluster of points flowing on the manifold, in an alternate manner with tracking;(c) formulate geodesic-based kernel function for one-class SVM on Riemannian manifolds under the log-Euclidean metric. Experiments are conducted on several videos, results have provided support to the proposed method.

关键词： Visual object tracking Support vector machines One-class classification Online learning Riemannian manifold Covariance matrix

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Line-based scan compression algorithm suitable for remote sensing images

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Yuhang Xuebao/Journal of Astronautics 2005年第1期26卷 60-65+76页

作者： Wang, Zhen-Hua Tian, Jin-Wen Liu, Jian Lab. for Image Proc. Inst. for Pattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

In this paper, a line-based scan image compression algorithm with low complexity was presented. The algorithm was based on Christos Chrysalis's line-based wavelet transformation coding. There was not image tiling in the algorithm. The supposed algorithm modeled with contexts for different subband after quantifying wavelet coefficients uniformly. A modified Golomb-Rice algorithm with low complexity was adopted as entropy coder. The experiment shows that the memory requirement of the algorithm is far less than that of the SPIHT in compressing images with huge size. The complexity of the entropy coding of the algorithm is reduced largely. The algorithm is especially appropriate for remote sensing image compression system with power and space limited.

关键词： Coding Line-based scan Remote sensing Wavelet transformation

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Phase-correlation based registration of swipe fingerprints

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3338卷 506-515页

作者： Zhang, Yongliang Yang, Jie Wu, Hongtao Xue, Yunfeng Inst. of Image Processing and Pattern Recognition Shanghai JiaoTong Univ. 200030 Shanghai China School of Computer Science and Software Hebei University of Technology 300130 Tianjin China

Thermal swipe sensor is one of the technologies behind many of today's fingerprint sensors. This paper presents a new direct Fourier-based algorithm for performing swipe fingerprints registration to subpixel accuracy, where the fingerprint image differences are restricted to translations and uniform changes of illumination. The method is based on the extension of the well-known phase correlation technique and is able to estimate large translations of swipe fingerprints with pixel and subpixel accuracy. Excellent experimental results have been obtained for pixel and subpixel translation estimation of swipe fingerprints. And experimental data show that the algorithm has less time consumption and more robustness against.noise and superior registration precision. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Pixels

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Unsupervised Linear Discriminant Analysis

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Journal of Shanghai Jiaotong University(Science) 2006年第1期E-11卷 40-42页

作者： TANG Hong FANG Tao SHI Peng-fei TANG Guo-an Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ Shanghai 200030 China Three Gorges Project Command of Armed Police Hydropower Eng. Troops Hubei

An algorithm for unsupervised linear discriminant analysis was presented. Optimal unsupervised discriminant vectors are obtained through maximizing covariance of all samples and minimizing covariance of local k-neares... 详细信息

关键词： linear discriminant analysis(LDA) unsupervised learning neighbor graph

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LS-SVM based dim and small infrared target dualband fusion detection

LS-SVM based dim and small infrared target dualband fusion d...

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2nd International Conference on Space Information Technology

作者： Sun Yuqiu Li Shalan Tian Jinwen Liu Jian Yangtze Univ Sch Informat & Math Jinzhou 434023 Hubei Peoples R China Huazhong Univ Sci & Technol Image Processing & Intelligence Control Key Lab State Educ Minist Inst Pattern Recognition & Artificial Intelligece Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469601

Aiming at the characters of weak and small targets in infrared images, an algorithm based on Least Squares Support Vector Machines (LS-SVM) is presented to fuse long-wave and mid-wave infrared images and detect targets. image intensity surfaces for the neighborhood of every pixel of the original long-wave infrared image and mid-wave infrared are well-fitted by mapped LS-SVM respectively. And long-wave and mid-wave infrared image gradient images are obtained by LS-SVM based on radial basis kernels function. Fusion rule is set up according to the features of gradient images. At last, segment fused image and targets can be detected with contrast threshold. Compared with wavelet fusion detection algorithm and morphological fusion detection algorithm, when a target is affected by baits, the experimental results demonstrate that the proposed approach in the paper based on LS-SVM to fuse and detect weak and small target is reliable and efficient.

关键词： least squares support vector infrared image fusion detection

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Fast algorithm of discrete Walsta-Haar transformation

Fast algorithm of discrete Walsta-Haar transformation

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International Conference on Space Information Technology

作者： Lu, Li Shi, Baochang Tian, Jinwen Liu, Jian State Education Commission Key Lab for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei 430074 China Inst. for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China Department of Mathematics Huazhong University of Science and Technology Wuhan Hubei 430074 China

Walsh-Haar function system that was first intruoduced by us is a new kind of function systems, and has a good global/local property. This function system is called Walsh ordering function system since its generation kernel functions belong to Walsh ordering Walsh function system. We worked out a recursive property of the matrix WHKRm+1 corresponding to the first KR m+1 Walsh-Haar functions in Walsh-Haar function system, and we also proved that Walsh-Haar function system is perfect and orthogonal similar to Walsh function system and Haar function system. Thus, discrete Walsh-Haar transformation (DW-HT) is an orthogonal transformation that can be widely used in signal processing. In this paper, using the recursive property of the matrix WHKRm+1 and the fast algorithm of discrete Walsh transformation (DWT) in Walsh ordering, we have designed a fast algorithm of Walsh ordering DW-HT based on the bisection technique. The idea and method used in this paper can be used for designing fast algorithms of other ordering DW-HTs and other discrete orthogonal transformations.

关键词： Mathematical transformations

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