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15th European Signal processing Conference, EUSIPCO 2007

作者： Wang, Tiesheng Gu, Irene Y.H. Viberg, Mats Cao, Zhongping Song, Nuan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Department of Signals and Systems Chalmers University of Technology Sweden

ISBN: (纸本)9788392134022

In this paper, we propose a scheme for moving object tracking from videos by combining mean shift and motion field statistics. For mean shift, we employ an enhanced spatial-range mean shift that enables a reduced number of over-segmentation. For motion statistics, we combine the optical flow and high-order moment to generate motion regions that are associated with moving objects (or object parts). Experiments have been conducted on several indoor and outdoor (color/gray-scale) image sequences ranging from simple to median complexity. To evaluate the performance, three objective criteria are applied in addition to the visual inspection. The results show that the proposed method is promising for moving object tracking in video, with an averaging detection rate of 95%. Further, the proposed scheme is compared with that using the conventional mean shift for the tracking, indicating a significantly reduction in false alarm (≈ 30%). © 2007 EURASIP.

关键词： Tracking (position)

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Wideband transmit beampattern design for MIMO array

Wideband transmit beampattern design for MIMO array

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2011 IEEE International Conference on Signal processing, Communications and Computing, ICSPCC 2011

作者： Jin, Yong Liu, Xian-Xing Huang, Jian-Guo Institute of Image Processing Pattern Recognition Henan University KaiFeng 475000 China College of Marine Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781457708947

Transmit beamforming design for Multiple Input Multiple Output (MIMO) array is studied. The performance of narrowband transmits beamforming design methods is detailed discussed through simulations. Aiming at wideband transmit beamforming design;suppose each sensor transmits at the same power level, three criteria namely conventional least square beampattern matching, minimum targets azimuth cross-correlation matching and minimum sidelobe matching are proposed to constrain the cross-relation matrix of wideband transmitting signals. Through equivalent transform, above optimum problems are described as Semi-Definite Quadratic Programming. Convex optimization techniques are used to find the numerical solution of the resulted optimization problems. Simulations show that our method is effective and promising. © 2011 IEEE.

关键词： Quadratic programming

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A Novel Wideband CPW-Fed 5.8GHz RFID Tag Antenna

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电子学报(英文版) 2012年第2期21卷 202-208页

作者： LI Huihui MOU Xuanqin JI Zhen YU Hang LI Yan Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an 710049 China College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 China Shenzhen Key Laboratory of Embedded System Design Shenzhen 518060 China

A novel wideband 5.8GHz CPW-fed an- tenna is presented for Radio frequency identification (RFID) tag. Four U-shaped and four L-shaped branches are used as additional resonators to achieve wideband operation. The proposed antenna was analyzed numeri- cally using the Method of moment (MOM) and the Fi- nite element method (FEM). With the antenna size lim- ited to 30 × 30mm2, the ?10dB bandwidth obtained by MOM is 3.235GHz (5.765～9GHz) and the ?9.5dB band- width obtained by FEM is 2.74GHz (5.32～8.06GHz), cor- responding to 55.7% and 47.2% of the center frequency 5.8GHz respectively. Moreover, the simulated results show that the proposed antenna has gain of more than 4.8dBi and the radiation pattern is nearly omnidirectional in the H-plane. The measured ?10dB bandwidth is 2.68GHz (5.63GHz～8.31GHz), 46.2% of the 5.8GHz frequency. Fur- thermore, there are three measured resonant frequencies at 1.34GHz, 3.23GHz and 5.8GHz with lower than ?10dB return loss respectively. The measurement result achieves a wideband RFID tag antenna performance and is in good agreement with the calculated results.

关键词： RFID标签天线尺寸共面波导宽带无线电频率识别有限元分析网络连接数值分析

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Receptive fields within the combinatorial pyramid framework 10th

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10th International Conference on Discrete Geometry for Computer imagery, DGCI 2002

作者： Brun, Luc Kropatsch, Walter G. Université de Reims France Institute for Computer-aided Automation Pattern Recognition and Image Processing Group Vienna Univ. of Technology Austria

ISBN: (纸本)3540433805

A hierarchical structure is a stack of successively reduced image representations. Each basic element of a hierarchical structure is the father of a set of elements in the level below. The transitive closure of this father-child relationship associates to each element of the hierarchy a set of basic elements in the base level image representation. Such a set, called a receptive field, defines the embedding of one element of the hierarchy on the original image. Using the father-child relationship, global properties of a receptive field may be computed in O(log(m)) parallel processing steps where m is the diameter of the receptive field. Combinatorial pyramids are defined as a stack of successively reduced combinatorial maps, each combinatorial map being defined by two permutations acting on a set of half edges named darts. The basic element of a combinatorial pyramid is thus the dart. This paper defines the receptive field of each dart within a combinatorial pyramid and study the main properties of these sets. © Springer-Verlag Berlin Heidelberg 2002.

关键词： image representation

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FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud 26

FASTC: A Fast Attentional Framework for Semantic Traversabil...

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26th European Conference on Artificial Intelligence, ECAI 2023

作者： Chen, Yirui Wei, Pengjin Liu, Zhenhuan Wang, Bingchao Yang, Jie Liu, Wei Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University China Key Laboratory of System Control and Information Processing Ministry of Education China

ISBN: (纸本)9781643684369

Producing traversability maps and understanding the surroundings are crucial prerequisites for autonomous navigation. In this paper, we address the problem of traversability assessment using point clouds. We propose a novel pillar feature extraction module that utilizes PointNet to capture features from point clouds organized in vertical volume and a 2D encoder-decoder structure to conduct traversability classification instead of the widely used 3D convolutions. This results in less computational cost while even better performance is achieved at the same time. We then propose a new spatio-temporal attention module to fuse multi-frame information, which can properly handle the varying density problem of LIDAR point clouds, and this makes our module able to assess distant areas more accurately. Comprehensive experimental results on augmented Semantic KITTI and RELLIS-3D datasets show that our method is able to achieve superior performance over existing approaches both quantitatively and quantitatively. Our code is publicly available at https://***/chenyirui/FASTC. © 2023 The Authors.

关键词： Semantics

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Formal Photograph Compression Algorithm Based on Object Segmentation

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International Journal of Automation and computing 2008年第3期5卷 276-283页

作者： Li Zhu Guo-You Wang Chen Wang Laboratory. for Biomedical Image Processing Institute for Pattern Recognition ＆ Artificial Intelligence Huazhong University of Science ＆ Technology Wuhan 430074 PRC School of Mechanical and Aeropace Engineering Nanyang Technological Vnlversity Sigapore 639798 Sigapore

Small storage space for photographs in formal documents is increasingly necessary in today＇s needs for huge amounts of data communication and storage. Traditional compression algorithms do not sufficiently utilize the distinctness of formal photographs. That is, the object is an image of the human head, and the background is in unicolor. Therefore, the compression is of low efficiency and the image after compression is still space-consuming. This paper presents an image compression algorithm based on object segmentation for practical high-efficiency applications. To achieve high coding efficiency, shape-adaptive discrete wavelet transforms are used to transformation arbitrarily shaped objects. The areas of the human head and its background are compressed separately to reduce the coding redundancy of the background. Two methods, lossless image contour coding based on differential chain, and modified set partitioning in hierarchical trees （SPIHT） algorithm of arbitrary shape, are discussed in detail. The results of experiments show that when bit per pixel （bpp）is equal to 0.078, peak signal-to-noise ratio （PSNR） of reconstructed photograph will exceed the standard of SPIHT by nearly 4dB.

关键词： image compression object segmentation lossless image contour coding differential chain set partitioning in hierarchical trees （SPIHT） coding of arbitrarily shaped object.

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PCA for predicting quaternary structure of protein

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Frontiers of Electrical and Electronic Engineering in China 2008年第4期3卷 376-380页

作者： Tong WANG Hongbin SHEN Lixiu YAO Jie YANG Kuochen CHOU Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong UniversityShanghai 200240China Gordon Life Science Institute San DiegoCA 92130USA

The number and arrangement of subunits that form a protein are referred to as quaternary *** the quaternary structure of an uncharacterized protein provides clues to finding its biological function and interaction process with other molecules in a biological *** the explosion of protein sequences generated in the Post-Genomic Age,it is vital to develop an automated method to deal with such a *** explore this prob-lem,we adopted an approach based on the pseudo position-specific score matrix(Pse-PSSM)descriptor,proposed by Chou and Shen,representing a protein *** Pse-PSSM descriptor is advantageous in that it can combine the evolution information and sequence-correlated ***,incorporating all these effects into a descriptor may cause‘high dimension disaster’.To over-come such a problem,the fusion approach was adopted by Chou and Shen.A completely different approach,linear dimensionality reduction algorithm principal component analysis(PCA)is introduced to extract key features from the high-dimensional Pse-PSSM *** obtained dimension-reduced descriptor vector is a compact repre-sentation of the original high dimensional *** jack-knife test results indicate that the dimensionality reduction approach is efficient in coping with complicated problems in biological systems,such as predicting the quaternary struc-ture of proteins.

关键词： principal component analysis(PCA) qua-ternary structure of protein pseudo position-specific score matrix(Pse-PSSM) dimension reduction method

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Automated 3D-scanning & analyis of archaeological objects

Automated 3D-scanning & analyis of archaeological objects

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24th IASTED International Conference on Modeling, Identification, and Control, MIC 2005

作者： Mara, H. Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology Favoritenstrasse 9/1832 A-1040 Vienna Austria

Thousands of fragments of ceramics (called sherds for short) are found at archaeological excavation sites. One of these excavations sites is Tel Dor in Israel. The excavators in Dor use hand drawings and a profilograph for documentation of sherds. Both techniques acquire a cross-section of the sherd, the so called profile line, which is used for classification and statistical analysis about the ancient population of Dor. As proposed in previous work we are developing a fully automated system for documentation of sherds by 3D-acquisition based on structured light and extraction of the profile line. Consequently we joined the field trip to Tel Dor in July, 2004 to compare in-situ the accuracy and performance of the traditional hand drawings, the profilograph and our system. We therefore alos measured the time for each step of documentation in-situ to find bottle-necks in documented sherds per hour. Based on these results we could propose an improvement to increase the throughput of our system by a factor of 5. The results of the comparison of all three techniques of documentation of sherds, the improvement for our system and a methodological experiment for future work are shown in this report.

关键词： Automation

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Application of (α,ß)-trimmed mean filtering for removal of additive noise from images

Application of (α,ß)-trimmed mean filtering for removal of...

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Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for image processing

作者： Rytsar, Yuriy B. Ivasenko, Iryna B. Institute of Physics and Mechanics National Academy of Sciences of Ukraine Department of Image Processing and Pattern Recognition Naukova str. 5 Lviv Ukraine

This paper is concerned with algorithms for removal additive noise from images. The proposed (α,ß)-trimmed mean filtering is suitable for application to real images corrupted by Gaussian, uniform and impulsive noise. The developed technique is a generalization of α-trimmed mean filter and have the same basic properties as rank-order filters. The actual performance of proposed technique was compared with that of average, median and midpoint filters and evaluated on noisy images by the error of restoration. The illustrative examples are given.

关键词： Restoration

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Three-dimensions Volume Reconstruction of Grayscale Serial Slice images

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High Technology Letters 2004年第2期10卷 25-29页

作者：吴建明 Shi Pengfei Zhang Luoming Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 P.R.China Department of Information Control Shanghai Jiaotong University Shanghai 200030 P.R.China

This paper focuses on basic geometric and topological access methods, and computational operations implemented by various data objects. It covers such methods as inter-slices point matching, stream slices, sorting of octree blocks, cell operations and experimental results. At first, this paper discusses in detail the feature points matching of inter-slices. Then it introduces stream slices eigenfields and octree data structures theories. Next, it discusses cell operations and its data structure. Finally, it shows an experimental result. The innovations in the paper is the data structure of slices feature and cell feature, and the feature matching methods owns the properties both quickly and exactly.

关键词：间切片点匹配流量切片固有频率八叉树块三维流量重建灰度连续切片图像

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