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检索条件"任意字段=MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition"

共 165 条记录，以下是51-60 订阅

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Dynamic object recognition and tracking of mobile robot by monocular vision

Dynamic object recognition and tracking of mobile robot by m...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Liu, Lei Wang, Yongji Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9780819469502

Monocular Vision is widely used in mobile robot's motion control for its simple structure and easy using. An integrated description to distinguish and tracking the specified color targets dynamically and precisely by the Monocular Vision based on the imaging principle is the major topic of the paper. The mainline is accordance with the mechanisms of visual processing strictly, including the pretreatment and recognition processes. Specially, the color models are utilized to decrease the influence of the illumination in the paper. Some applied algorithms based on the practical application are used for image segmentation and clustering. After recognizing the target, however the monocular camera can't get depth information directly, 3D Reconstruction Principle is used to calculate the distance and direction from robot to target. To emend monocular camera reading, the laser is used after vision measuring. At last, a vision servo system is designed to realize the robot's dynamic tracking to the moving target.

关键词： monocular vision Imaging principle image processes 3D reconstruction vision servo system

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Robust L1 PCA and application in image denoising

Robust L1 PCA and application in image denoising

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Gao, Junbin Kwan, Paul W. H. Guo, Yi Charles Sturt Univ Sch Comp Sci Bathurst NSW 2795 Australia Univ New England Sch Sci & Technol Armidale NSW 2351 Australia

ISBN: (纸本)9780819469502

The so-called robust L1 PCA was introduced in our recent work [1] based on the L1 noise assumption. Due to the heavy tail characteristics of the L1 distribution, the proposed model has been proved much more robust against data outliers. In this paper, we further demonstrate how the learned robust L1 PCA model can be used to denoise image data.

关键词： robust L1 PCA Bayesian learning denoising

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PCA based forward-looking infrared airport recognition combining intensity and shape feature

PCA based forward-looking infrared airport recognition combi...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Liu, Wei Tian, Jinwen Chen, Xinwu Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Processing T Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

In this paper, a novel method based on PCA with shape and intensity information is proposed for infrared forward-looking airport recognition. Here, PCA is used to perform feature transformation and airport recognition. It maps an input image into a low-dimensional feature space in order to make the mapped features linearly separable. And the input image of conventional method only uses intensity information. The proposed method not only considers the intensity but also adopts shape-mask to emphasize the important object area information. The novel method is evaluated based on the sequence of infrared forward-looking airport images by using different airport recognition methods such as BP networking and SVM. The experiment's results have been compared based on percentage of correct classification, computation complexity and amount of training data, which show that this new method is superior to other recognition approach on computation complexity under almost the same recognition accuracy.

关键词： PCA forward-looking infrared image shape mask cluster segmentation

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The abnormal behavior analysis of single person on the road based on region and behavior features

The abnormal behavior analysis of single person on the road ...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Wei Wang, Runsheng Chen, Yiwen Natl Univ Def Technol Sch Elect Sci & Engn ATR Key Lab Changsha Hunan Peoples R China

ISBN: (纸本)9780819469502

In this paper, a method to detect whether the behavior of a single person in video sequence is abnormal is proposed. Firstly, after the pre-processing, the background model is gotten based on the Mixture Gaussian Model(GMM), at the same time the shadow is eliminated;then use the color-shape information and the Random Hough Transform (RHT) to abstract the zebra crossing and segment the background;Lastly, we use the rectangle and the centroid to judge whether the person's behavior is abnormal.

关键词： video sequence Mixture Gaussian Model(GMM) Random Hough Transform (RHT) detection criterion

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image quality assessment method in intelligent transportation systems

Image quality assessment method in intelligent transportatio...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Bangping You, Jian Xiao, Yijun Wang, Feng Sichuan Univ Coll Comp Inst Image & Graph Chengdu 610064 Peoples R China

ISBN: (纸本)9780819469502

In modem ITS (Intelligent Transportation Systems), the close shot images captured by camera are used to precise recognition of information of vehicles such as VLP (vehicle license plate), VS(vehicle shape), VBC(vehicle body color) and etc. The precise recognition of vehicle information seriously depends upon quality of images captured by camera. The assessment of image quality is a meaningful work, which can be used to monitor the working state and adjust the control parameters of camera, further more can guide the recognition of information of vehicle. This paper proposes a novel content-based method of assessing images quality for close shot ones in ITS. The method is objective image quality assessment without reference image, which is point to single image. The assessment includes distortion type and distortion amount. Experiments show the method is valid and robust.

关键词： image quality assessment fuzzy logic ITS (Intelligent transportation systems) image information

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recognition algorithm for characters at ends of steel billet using features of character structures - art. no. 67862L

Recognition algorithm for characters at ends of steel billet...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Zhang, Yan Hong, Hanyu Geng, Hui Lin, Zhimin Wuhan Inst Technol Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

For the requirement of identification and trace of steel billet in the procedure of manufacture and management, the ends of steel billets are all printed a series of characters. So, each end of steel billet must be tracked and recognized automatically before they are imported to furnace. Owing to the effect of the bad-imaging environment, there are a lot of difficulties in recognizing characters at ends of steel billet. So, the real-time automatic recognition of characters at ends of steel billet is different from the recognition of the license plates. For the former methods dissatisfied with practical demands, an identification method using features of character structures is introduced by this paper, which greatly lowers error rate and rejection rate effectively.

关键词： ends of steel billet image segmentation features of character structures character recognition

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Detection of space image target based on improved fractal technique

Detection of space image target based on improved fractal te...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Tian, Balin Yuan, Jianping Tian, Jing Liang, Huaqiang Northwestern Polytech Univ Coll Astronaut Xian 710072 Peoples R China Northwestern Polytech Univ Coll Astronaut Xian 710072 Peoples R China Xian Inst Commun Xian AH-710106 Peoples R China

ISBN: (纸本)9780819469502

In the space surveillance applications, recognition of image targets is very important, one of the most difficult problems in image processing is detecting objects in an image. target detection is a key step for the applications of space image target recognition. An improved method presented in this paper is designed to detect man-made objects in digital images representing in natural environments. This method is based on Fractal theory. According to the fractal feature of man-made object in space, the object can be partitioned off background based on the difference of intrinsic fractal features between them, where the value of fractal dimension (FD) at the objects' edge is much larger than that in other area. The validity of the proposed method is examined by processing and analyzing images of space target at the end of the paper. In detection of targets for real images of Shenzhou-VI and launch vehicle ChangZheng(CZ), the algorithm has a successful outcome. It will provide great efficiency and speed in detection of space image target, which could be also used for further image feature extraction and image segmentation.

关键词： man-made object target detection fractal fractal dimension (FD) box-counting dimension

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automatic human micro-Doppler signature separation by Hough transform 9

Automatic human micro-Doppler signature separation by Hough ...

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9th International Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis

作者： Zhang, Jun Jin, Tian Qiu, Lei Zhou, Zhimin Natl Univ Def Technol Coll Elect Sci & Engn Changsha 410073 Hunan Peoples R China Collaborat Innovat Ctr Informat Sensing & Underst Xian 710071 Peoples R China

ISBN: (纸本)9781510600522

The micro-Doppler signature is one of the most prominent information for target classification and identification. As Hough transform (HT) is an efficient tool for detecting weak straight target traces in the image, an HT based algorithm is proposed for micro-Doppler signature separation of multiple persons. Few seconds data is processed at one time to ensure human motion traces approximate to straight lines in the radar slow time-range image. Taking HT to the slow time-range image, each human's motion trace can be recovered through recursively searching the peaks in HT space. Applying time-frequency transform to the range cells around each recovered line, the human micro-Doppler signature can be achieved and separated. Experimental results are given to illustrate the validity of the proposed algorithm.

关键词： Slow time-range image motion trace micro-Doppler signature short time Fourier transform Ku band radar

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New method of cloud synthesis and application in image segmentation

New method of cloud synthesis and application in image segme...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Xu, Kai Qin, Kun Li, Deren Wuhan Univ Sch Remote Sensing Informat Engn Wuhan 430079 Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469502

Currently, cloud model has been successfully used in data mining, digital watermark and other fields. This paper proposes a new method of cloud synthesis which is the key technology of cloud model. Based on the new method, a novel image segmentation algorithm is proposed. Experiments show that the new method of cloud synthesis is more effective and appropriate for image segmentation, and the novel image segmentation algorithm is more effective and robust than the traditional image segmentation algorithms.

关键词： cloud synthesis cloud distance image segmentation

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Adaptive recursive algorithm for infrared ship image segmentation based on gray-level histogram analysis

Adaptive recursive algorithm for infrared ship image segment...

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5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Xinyu Xu, Huosheng Wang, Heng Wuhan Digital Engn Inst Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

The infrared ship segmentation in digital images is a fundamental step in the process of ship recognition. This paper presents an adaptive recursive algorithm for infrared ship image segmentation based on the gray-level histogram analysis of the image. The proposed algorithm consists of four phases. First, the gray-level histogram of the image is generated and de-noised by using wavelets transform. Second, a threshold level which best extracts the ship from the water region is selected according to the histogram profile analysis. Third, the rationality of the selected threshold is analyzed based on the prior information about infrared ship images. If the selected threshold is not reasonable, we can still use it as the recursive initial threshold and the infrared ship image will be further segmented with a local recursive method based on the method proposed by OTSU until it reaches the prescriptive termination criteria. Finally, we eliminate the spurious pixels by extracting the greatest connected region and filling the holes. The segmentation algorithm works successfully for classification of infrared ships, and some experimental results are also presented.

关键词： image segmentation ship classification target infrared

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