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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31-40 订阅

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liLocal mapping for middle-size league of RoboCup

liLocal mapping for middle-size league of RoboCup

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： He, Qicheng Yang, Yimin Zhang, Xuexi Huang, Yanbiao Guangdong Univ Technol Inst Automat Guangzhou 510090 Guangdong Peoples R China

ISBN: (纸本)9780819469502

Aiming at making up the limitation of catadioptric vision system that lacks of nearby image information, which is used for the middle-size league of RoboCup - The World Cup of Soccer Robots, this paper introduces the monocular front vision process with the purpose of improving the primary system. The paper puts forward the idea of the monocular front vision process at first, explains the algorithm of every module in detail, and comes up with the result as well as analyzes it according to the experiment at last.

关键词： RoboCup middle-size league machine vision image recognition

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Object detection in side scan sonar 9

Object detection in side scan sonar

引用

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

作者： Wang Wenwu Cheng Binbin Chen Yao Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan 430081 Peoples R China China Shipbldg Ind Corp R&D Inst 710 Yichang 443003 Peoples R China

ISBN: (纸本)9781510600522

automatic target detection is a challenging task as the response from an underwater target may vary greatly depending on its configuration, sonar parameters and the environment. We propose a Z-test algorithm for target detection in side scan sonar image which avoids this problem that covers the variation in the target response. A Z-test is performed on the means of the pixel gray levels within and outside the window area, a detection being called when the value of test statistic feature exceeds a certain threshold. The algorithm is formulated for real-time execution on limited-memory commercial-of-the-shelf platforms and is capable of detection objects on the seabed-bottom.

关键词： target detection Z-test statistic feature side scan sonar

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target detection based on hierarchical saliency feature model

Target detection based on hierarchical saliency feature mode...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Yuehuan Lan, Qian Zhang, Tianxu Huazhong Univ Sci & Technol State Key Lab Multi Spectral Informat Proc Techno Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

A target description model based on hierarchical saliency feature and target detection based on the model are proposed, which integrates bottom-up and top-down vision attention mechanisms together. Some saliency features of target are extracted on multi-scale, such as local symmetry, corner and so on, which are then processed hierarchically. This makes detection process much simpler and robust. Experiments demonstrate that the approach proposed is effective.

关键词： attention mechanism hierarchical saliency feature target detection

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Real-time target tracking with particle filter in moving monocular camera

Real-time target tracking with particle filter in moving mon...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Liu, Guocheng Wang, Yongji Huazhong Univ Sci & Technol Key Lab Image Processing & Intelligent Control Chinese Educ Minist Wuhan 430072 Peoples R China

ISBN: (纸本)9780819469502

In this paper, we propose an improved particle filter algorithm for real-time tracking a randomly moving target in dynamic environment with a moving monocular camera. For making the tracking task robustly and effectively, color histogram based target model is integrated into particle filter algorithm. Bhattacharyya distance is used to weight samples by calculating each sample's histogram with a specified target model and it makes the measurement matching and samples' weight updating more reasonable. In order to reduce sample depletion, the improved algorithm will be able to take the latest observation into account. The experimental results confirm that the method is effective even when the monocular camera is moving and the target object is partially occluded in a clutter background.

关键词： visual tracking particle filter state-space model

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MHT algorithm for distributed sensors networking

MHT algorithm for distributed sensors networking

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, HongFei Sun, Wei Zhu, Qian Nanjing Elect Technol Res Inst Nanjing 210013 Peoples R China Nanjing Artillery Acad Nanjing 211132 Peoples R China

ISBN: (纸本)9780819469502

For the development cost, there is hardly any research on multi-hypotheses-tracking (MHT) for decentralized sensors networking system, although the distributed spot-level fusion for sensors networking is a key function in multi-target multi-sensor tracking system. MET is a famous algorithm in target tracking, which is capable of track initiating, updating, deleting, keeping. This paper puts forward an MHT algorithm for decentralized sensors networking at spot fusion level which is validated by simulation results. Some important aspects in application are also put forward.

关键词： target tracking MHT multi-sensor spot-fusion information fusion

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Auto-segmentation based on graphcut and template

Auto-segmentation based on graphcut and template

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Zhang, Hong Zuo, Wei Mu, Ying Beihang Univ Image Proc Ctr Beijing 100083 Peoples R China

ISBN: (纸本)9780819469502

In this paper, the main idea is to use the prior knowledge to guide the segmentation. Firstly the continuity among adjacent frames is used to create a motion template according to the Displaced Frame Difference's (DFD) higher character([1]). And then the color template is established by using the k-means clustering. Based upon the information derived from the previous two templates, the segmentation image is defined as foreground, background and boundary regions. Then, the segmentation problem is formulated as an energy minimization problem. The hard edge of foreground is then obtained by implementing graph-cut algorithm. Experimental results demonstrate the effectiveness of proposed algorithm.

关键词： automatic video segmentation graph-cut algorithm video object template

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Algorithm of optical remote sensing image registration based on strong edge region

Algorithm of optical remote sensing image registration based...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Yao, Ting Yin, Dong Liu, Yuan Univ Sci & Technol China Dept Elect Eng & Informat Sci Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9780819469502

Aiming at the registration of optical remote sensing images, an algorithm based on strong edge region is proposed. First, the strong edge regions are extracted. Then combines with the regions' moment invariants and RANSAC method, it can obtain an accurate match of the strong edge regions. Utilizing the centroids of the matching regions as control points in the affine geometric distortion, an automatic registration is performed. A large number of experiments are fulfilled with SPOT and Quickbird satellite images and good results are obtained.

关键词： Strong Edge Region moment invariants random sample consensus (RANSAC) image registration affine transformation

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image inpainting under different displacement view images

Image inpainting under different displacement view images

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Ma, Wenjuan Hu, Maolin Anhui Univ Lab Intelligent Comp & Signal Proc Hefei 230039 Anhui Peoples R China

ISBN: (纸本)9780819469502

In this paper, image inpainting based on different displacement view images is proposed, which is the problem of filling in the occluded or damaged regions of an image by the visible information from other different displacement view images. The key problems are how to convert the visible information in different displacement view images to consistence and to use available information to repair the target image. The first step of our method is to divide all images into different scene planar regions and to transform all image regions into current view by projective transformation computed from the matched points;thus the visible information can be directly used, then a new inpainting algorithm based on image fusion with spatial frequency is applied. The experiment shows good and harmonious results for the repaired image.

关键词： image inpainting different displacement view images image fusion

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Point matching of two images under large different resolution

Point matching of two images under large different resolutio...

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Ruan, Lei Hu, Maolin Lab. of Intelligent Computing and Signal Processing AnHui University Hefei AnHui 230039 China Key Laboratory of Wireless Sensor Network and Communication Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China

ISBN: (纸本)9780819469502

image matching is the first step in almost any 3D computer vision task, and hence has received extensive attention. In this paper, the problem is addressed from a novel perspective, which is different from the classic stereo matching paradigm. Two images with different resolutions, that is high resolution versus low resolution are matched. Since the high resolution image only corresponds to a small region of the low resolution one, the matching task therefore consists in finding a small region in the low resolution image that can be assigned to the whole high resolution image under the plane similarity transformation, which can be defined by the local area correlation coefficient to match the interest points and rectified by similarity transform. Experiment shows that our matching algorithm can be used for scale changing up to a factor of 6. And it is successful to deal with the point matching between two images under large scale.

关键词： image matching

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Combining color and texture features for image retrieval

Combining color and texture features for image retrieval

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Guiting Tian, Baobao Jiao, Licheng Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China

ISBN: (纸本)9780819469502

In this paper, a new method named BQCGW (block-based method of combining quantized colors and Gabor wavelet features) is proposed for image retrieval. HSV color space, in which measured color differences are proportional to the human perception of such differences, is quantized into 67 kinds of representative colors. We also propose the use of Gabor wavelet features for texture analysis. images in the database are divided into nine blocks before extracting color and texture features. Experiment results show that our method is feasible and valid.

关键词： content-based image retrieval (CBIR) HSV quantized colors Gabor wavelet

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