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Average Weight Optimization RBPF Method for Target Tracking in Multi-Sensor Observations

Chinese Journal of Electronics 2023年第2期22卷 401-404页

作者： Xianxing Liu Zhentao Hu Jie Li Institute of Image Processing and Pattern Recognition Henan University Kaifeng China

The reasonable design of particle filter framework in multi-sensor observation system is the key to expand the application domain of sampling nonlinear filters. Aiming at the effective realization of particle filter for multi-sensor target tracking problem, a novel average weight optimization Rao-Blackwellised particle filtering algorithm is proposed. Combining with the kinetic equation of target state evolution, RBPF is used as the basic estimator of algorithm realization. For the rational utilization from multi-sensor observations and the reduction of the adverse influence from random observations noise in measuring process of particles weight, the average weight optimization strategy is used to improve the reliability and stability of particle weight variance. In addition, we give the concrete flow of RBPF in average weight optimization strategy. Finally, the theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.

关键词： Weight measurement Technological innovation Target tracking Redundancy Filtering algorithms Reliability theory Particle filters

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image quality assessment based on multi-scale geometric analysis

Image quality assessment based on multi-scale geometric anal...

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15th International Conference on image Analysis and processing - ICIAP 2009, Proceedings

作者： Liu, Mingna Yang, Xin Shang, Yanfeng Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Department of Electronics and Informatics Vrije Universiteit Brussel IBBT Brussel 1050 Belgium

ISBN: (纸本)3642041450

A novel objective full-reference image quality assessment metric based on Multi-scale Geometric Analysis (MGA) of contourlet transform is proposed. Contourlet transform has excellent properties for image representation, such as multiresolution, localization and directionality, which are the key characteristics of human vision system. Utilizing multiresolution and directionality of MGA, we extract the distortion of structural information from different vision scale and edge direction. The degradation of image quality is evaluated based on the defined energy of structural distortion. Performance experiments are made on professional image quality database with five different distortion types. Compared with some state-of-the-art measures, the results demonstrate that the proposed method improves accuracy and robustness of image quality prediction. © 2009 Springer Berlin Heidelberg.

关键词： Contourlet transform

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On estimating the position of fragments on rotational symmetric pottery 2

On estimating the position of fragments on rotational symmet...

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2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999

作者： Sablatnig, Robert Menard, Christian Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Treitlstr. 3 183-2 WienA-1040 Austria

ISBN: (纸本)0769500625

The activation of ancient vessel-fragments is a time consuming but important task for archaeologists. The basis for classification and reconstruction is the profile which is the cross-section of the fragment in the direction of the rotational axis of symmetry. Hence the position of a fragment (orientation) on a vessel is important. In this work the estimation of the axis of rotation out of range data by using a Hough inspired method is proposed. In order to avoid outliers a robust method for estimation of the axis is used. Classification and reconstruction are performed in a bottom-up manner using a description language, which holds all features of the fragment as primitives and all properties among features as relations. Classification of newly found fragments of unknown type is performed by comparing the description of the new fragment with the description of already classified fragments by completing graph similarity. The sub-graph with the highest similarity is then used to reconstruct the complete vessel out of the fragment. © 1999 IEEE.

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Optimizing the hyper-parameters for SVM by combining evolution strategies with a grid search

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作者： Liu, Ruiming Liu, Erqi Yang, Jie Li, Ming Wang, Fanglin Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University 200240 Shanghai China Institute of the Second Academy China Aerospace Science and Industry Corporation 100854 Beijing China

ISBN: (纸本)3540372555

In real-world applications, selecting the appropriate hyper-parameters for support vector machines (SVM) is a difficult and vital step which impacts the generalization capability and classification performance of classifier. In this paper, we analyze the distributing characteristic of hyper-parameters that the optimal hyper-parameters points form neighborhoods. For finding all the optimal points (on the grid points) in neighborhoods, based on this characteristic, we propose a hybrid method that combines evolution strategies (ES) with a grid search (GS), to carry out optimizing selection of these hyper-parameters. We firstly use evolution strategies find the optimal points of hyper-parameters and secondly execute a grid search in the neighborhood of these points. Our hybrid method takes advantage of the high computing efficiency of ES and the exhaustive searching merit of GS. Experiments show our hybrid method can successfully find the optimal hyper-parameters points in neighborhoods. © Springer-Verlag Berlin/Heidelberg 2006.

关键词： Support vector machines

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Improved PSO algorithm with harmony search for complicated function optimization problems

Improved PSO algorithm with harmony search for complicated f...

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9th International Symposium on Neural Networks, ISNN 2012

作者： Yu, Jian Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China College of Mathematics and Information Technology Hanshan Normal University Chaozhou Guangdong 521041 China

ISBN: (纸本)9783642313455

Improved particle swarm optimization algorithm with harmony search (IHPSO) is proposed in this paper. This algorithm takes particle swarm search direction estimation mechanism and harmony search (HS) approach to particle swarm optimization (PSO) algorithm, which increases the search capability of PSO algorithm considerably. The proposed algorithm initializes a new search with harmony pitch adjusting or random selection when PSO search direction is estimated incorrectly. This can provide further opportunities of finding better solutions for the particle swarm by guiding the entire particle swarm to promising new regions of the search space and accelerating the search. PSO, HPSO and IHPSO, as well as other advanced PSO procedures from the literature were compared on several benchmark test functions extensively. Statistical analyses of the experimental results indicate that the performance of IHPSO is better than the performance of PSO and HPSO. © 2012 Springer-Verlag.

关键词： Particle swarm optimization (PSO)

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A novel panoramic image stitching algorithm based on ORB

A novel panoramic image stitching algorithm based on ORB

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2017 IEEE International Conference on Applied System Innovation, ICASI 2017

作者： Wang, Maosen Niu, Shaozhang Yang, Xuan Beijing Key Lab of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications Beijing100876 China Institute of Image Processing and Pattern Recognition North China University of Technology No.5 Jinyuanzhuang Road Shijingshan District Beijing China

ISBN: (纸本)9781509048977

image stitching technique is to integrate multiple images with overlapping regions into a complete image with a wide viewing angle, less distortion, and no obvious suture. image stitching could be used for global positioning and robot autonomous navigation without changing the hardware. SIFT feature and SURF feature are the classical algorithm in the image stitching. But they have the long time-consuming problem. Facing this problem, a novel fast image stitching algorithm based on ORB (Oriented FAST and Rotated BRIEF) features is proposed in this paper. The algorithm firstly selects ORB algorithm which adds the direction information to the FAST detector for image feature extracting and matching. Secondly, RASANC (Random Sample Consensus) algorithm is used to eliminate false matching points. Finally, weighted average method is used to speed up the image fusion. Experimental results show that the stitching effect of the algorithm in this paper is the same as that of SIFT algorithm and SURF algorithm. The two obvious advantages of our algorithm include: (1) stitching speed is much faster than that of Shift and Surf;(2)The algorithm is robust to external parameters of camera. So the proposed algorithm is hopefully applied to some handed electrical devices. © 2017 IEEE.

关键词： image fusion

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Runway detection of an unmanned landing aerial vehicle based on vision

Runway detection of an unmanned landing aerial vehicle based...

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MIPPR 2005: SAR and Multispectral image processing

作者： Wang, Hongqun Peng, Jiaxiong Li, Lingling Institute for Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074

When an monocular vision-based unmanned aerial vehicle (UAV) based on vision is flown to the final approach fix to intercept the glide slope without the navigation of Global Positioning System (GPS), the position and orientation of the airport runway in image must be detected accurately so as to a host of suitable procedures have to be followed. The optimum length of the final approach is about five miles from the runway threshold. The front view of the runway, which is achieved at the moment, is very illegible. The approaching marking (cross bar) of the runway are showed as some white spots of high intensity and the complicated backgrounds of the airport are included in the images. In this case, spots with high intensity should be extracted and classified, some of these spots are just the images of the background noises and the pseudo-targets, which can't be separated with the spots of the runway as in the view there is no significant characteristic difference among them ostensibly. Fortunately, in the terrestrial coordinate space, most of the runway marks are located at the apexes of a rectangle, having some geometric relationships. The relationship among the projection coordinates of the runway spots in the images can be determined according to the perspective principle, the constraint condition of the rectangle as well as the front shot constraint condition of the target, by using this relationship, the runway approaching marks can be separated, the position and the direction of the runway in the images can be identified. In this paper, the clustering management is adopted so as to greatly reduce the computing time. The consequence of the experiments shows that by this algorithm, even from a place far away from the runway whose marks are unclear, we also can effectively detect the runway.

关键词： Unmanned vehicles

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An adaptive nonparametric discriminant analysis method and its application to face recognition

An adaptive nonparametric discriminant analysis method and i...

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8th Asian Conference on Computer Vision, ACCV 2007

作者： Huang, Liang Yong, Ma. Ijiri, Yoshihisa Lao, Shihong Kawade, Masato Zhao, Yuming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Sensing and Control Technology Lab. Omron Corporation Kyoto 619-0283 Japan

ISBN: (纸本)9783540763895

Linear Discriminant Analysis (LDA) is frequently used for dimension reduction and has been successfully utilized in many applications, especially face recognition. In classical LDA, however, the definition of the between-class scatter matrix can cause large overlaps between neighboring classes, because LDA assumes that all classes obey a Gaussian distribution with the same covariance. We therefore, propose an adaptive nonparametric discriminant analysis (ANDA) algorithm that maximizes the distance between neighboring samples belonging to different classes, thus improving the discriminating power of the samples near the classification borders. To evaluate its performance thoroughly, we have compared our ANDA algorithm with traditional PCA+LDA, Orthogonal LDA (OLDA) and nonparametric discriminant analysis (NDA) on the FERET and ORL face databases. Experimental results show that the proposed algorithm outperforms the others. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Face recognition

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Recover human pose from monocular image under weak perspective projection

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ICCV 2005 Workshop on HCI - Computer Vision in Human-Computer Interaction

作者： Tong, Minglei Liu, Yuncai Huang, Thomas S. Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University 200030 China Beckman Institue University of Illinois at Urbana-Champaign Urbana IL 61801

ISBN: (纸本)3540296204

In this paper we construct a novel human body model using convolution surface with articulated kinematic skeleton. The human body's pose and shape in a monocular image can be estimated from convolution curve through nonlinear optimization. The contribution of the paper is in three folds: Firstly, human model based convolution surface with articulated skeletons is presented and its shape is deformable when changing polynomial parameters and radius parameters. Secondly, we give convolution surface and curve correspondence theorem under weak perspective projection, which provide a bridge between the 3D pose and 2D contour. Thirdly, we model the human body's silhouette with convolution curve in order to estimate joint's parameters from monocular images. Evalution of the method is performed on a sequence of video frames about a walking man. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Medical imaging

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A framework for spatial-variant thresholding of digital subtraction angiography images

A framework for spatial-variant thresholding of digital subt...

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MIPPR 2005: Geospatial Information, Data Mining, and Applications

作者： Sang, Nong Peng, Weixue Li, Heng Zhang, Tianxu Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

Vessel segmentation is the base of 3d reconstruction of Digital Subtraction Angiograph (DSA) images. This paper proposes a framework of adaptive local thresholding based on a verification-based approach for vessel segmentation of DSA images. The original DSA image is firstly divided into overlapping subimages according to a priori knowledge of the diameter of vessels. We implement a hypothesis test to determine whether each subimage contains vessels and then choose an optimal threshold respectively for every subimage previously determined to contain vessels, with a secondary verification process to exclude the condition that the subregion only containing the background but misclassified as one containing vessels by the hypothesis test. Finally an overall binarization of the original image is achieved by combining the thresholded subimages. Experiments demonstrate superior performance over global thresholding and some adaptive local thresholding methods.

关键词： Angiography

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