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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...

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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New Method of Reconstruction from Nonparallel Stereo and Application to Surgical Navigator

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Journal of Shanghai Jiaotong university(Science) 2007年第6期12卷 707-712页

作者：王建华刘允才 Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ.

A new method to reconstruct 3D scene points from nonparallel stereo is proposed. From a pair of conjugate images in an arbitrarily configured stereo system that has been calibrated, coordinates of 3D scene points can be computed directly using the method, bypassing the process of rectifying images or iterative solution involved in existing methods. Experiment results from both simulated data and real images validate the method. Practical application to surgical navigator shows that the method has advantages to improve efficiency and accuracy of 3D reconstruction from nonparallel stereo system in comparison with the conventional method that employs algorithm for standard parallel axes stereo geometry.

关键词： stereo nonparallel axes reconstruction method surgical navigator

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Model of federated evidence fusion for real-time urban traffic state estimation

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Journal of Shanghai Jiaotong University (Science) 2007年第6期12 E卷 793-798+804页

作者： Kong, Qing-Jie Liu, Yun-Cai Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200210 China

In order to make full use of heterogeneous multi-sensor data to serve urban intelligent transportation systems, a real-time urban traffic state fusion model was proposed, named federated evidence fusion model. The model improves conventional D-S evidence theory in temporal domain, such that it can satisfy the requirement of real-time processing and utilize traffic detection information more efficaciously. The model frame and computation al procedures are given. In addition, a generalized reliability weight matrix of evidence is also presented to increase the accuracy of estimation. After that, a simulation test is presented to explain the advantage of the proposed method in comparison with conventional D-S evidence theory. Besides, the validity of the model is proven by the use of the data of loop detectors and GPS probe vehicles collected from an urban link in Shanghai. Results of the experiment show that the proposed approach can well embody and track traffic state at character level in real-time conditions.

关键词： State estimation

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A Model of Federated Evidence Fusion for Real-time Urban Traffic State Estimation

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Journal of Shanghai Jiaotong university(Science) 2007年第6期12卷 793-798,804页

作者：孔庆杰刘允才 Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ.

In order to make full use of heterogeneous multi-sensor data to serve urban intelligent transportation systems, a real-time urban traffic state fusion model was proposed, named federated evidence fusion model. The model improves conventional D-S evidence theory in temporal domain, such that it can satisfy the requirement of real-time processing and utilize traffic detection information more efficaciously. The model frame and computational procedures are given. In addition, a generalized reliability weight matrix of evidence is also presented to increase the accuracy of estimation. After that, a simulation test is presented to explain the advantage of the proposed method in comparison with conventional D-S evidence theory. Besides, the validity of the model is proven by the use of the data of loop detectors and GPS probe vehicles collected from an urban link in Shanghai. Results of the experiment show that the proposed approach can well embody and track traffic state at character level in real-time conditions.

关键词： traffic state estimation D-S evidence theory information fusion intelligent transportation systems

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Algorithm for probe vehicle sampling sizes for traffic flow estimation

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2007年第9期41卷 1416-1419+1424页

作者： Gao, Ling-Ling Li, Zhi-Peng Chen, Yi-Kai Liu, Yun-Cai Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200240 China

This paper discussed the reliability of computing the road link speed from probe vehicles. An algorithm for the smallest probe vehicle sampling sizes for traffic flow estimation was proposed. Many factors are considered, such as road style, road link speed and information transmit period of probe vehicle. The field testing using traffic data of Xuhui district in Shanghai presents a good result which validates the effecfiveness of the new model.

关键词： Highway traffic control

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Novel color image segmentation based on color information and region growing

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2007年第5期41卷 802-806+812页

作者： Zhao, Qin-Pei Yao, Li-Xiu Cheng, Jian He, Hu-Yi Yang, Jie Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200240 China

This paper discussed a novel segmentation algorithm B-JSEG for color images based on color information and region growing. This method is proposed on the base of JSEG, a popular method in segmentation of color images, and directional operators for edge detection in images. Compared with other methods existed, new parameters are used to characterize the property of color-texture images in the proposed method. With the aim of alleviating over-segmentation, directional operators are integrated into the JSEG method to take account of both homogeneity and discontinuity in regions. It is shown from the experiments on large amounts of images that the proposed method is robust and able to match better with human's perception than JSEG.

关键词： image segmentation

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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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Remote sensing image matching based on corner structures

Remote sensing image matching based on corner structures

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International Conference on image and Graphics (ICIG)

作者： Hongya Tuo Zhongliang Jing Yuncai Liu Institute of Aerospace Sci. & Tech. Shanghai Jiaotong University Shanghai China Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

In this paper, we propose a matching method for remote sensing images based on corner structures. Firstly corner angle vector is defined to analysis corner structure, and the process of how to obtain it is discussed in detail. Then some measures are given to eliminate the false corners. Finally a relaxation matching scheme is presented. The experiments show the effectiveness and feasibility of our matching method.

关键词： Remote sensing image matching Arm Computer vision Detectors Bismuth pattern recognition image edge detection Graphics image processing

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Simplified method medical image for medial axis extraction

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2007年第8期41卷 1213-1217页

作者： Fan, Xian Yang, Jie Shi, Feng Inst. of Pattern Recognition and Image Processing Shanghai Jiaotong Univ. Shanghai 200240 China

In accordance with the outer skin and model segmentation issues in simulated plastic surgery, a simplified axis extraction method based on active window was proposed. The new method simplifies the M-Reps by using priori shape information of regions. It is applied to the segmentation of outer skin and model in the plastic surgery simulation. The results show the effectiveness of the proposed method.

关键词： image segmentation

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