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Face-sets based video shot retrieval using the text-search analogous approach

Face-sets based video shot retrieval using the text-search a...

7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Liu, Rui Zhen, Haiyang Zhu, Ming Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei Anhui Peoples R China Univ Sci & Technol China Dept Automat Hefei Anhui Peoples R China

ISBN: (纸本)9780819485786

The objective of this work is to retrieve shots containing particular people in video material. Due to well known problems such as illumination, pose and expression variations, it has been a challenging task. To this end, a robust and scalable approach analogized with text search method is proposed in this paper, which mainly consists of four steps: Obtaining sets of face exemplars by tracking, Local Facial Features Extraction and Fusion, Visual words established, Document descriptor obtained and VSM established for shot retrieval. Experimental results demonstrate that the proposed approach is not only efficient but also outperforms the competing methods.

关键词： pattern recognition face recognition shot retrieval video retrieval text-search face-sets visual words bag of words

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Contour Integration and Segmentation with a New Lateral Connections Model

Contour Integration and Segmentation with a New Lateral Conn...

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Chao, Cai Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Natl Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819485786

Automatically target contour detection from cluttered scenes is a very difficult task for computer vision. Humans, however, have a much better background suppress ability. The preceding models could not implement such a task very well. In this letter, an effective contour integration method based on human visual perception mechanism is proposed. The algorithm combines the properties of primary visual cortex and psychology researching results to simulate the contour perception of the V1 cortex. The new lateral connection based computational model have a better texture suppress ability, while, target's contour is enhanced. Compared with traditional methods, experiments show that the new method implement a more reasonable simulation of the V1 function structure, availably enhance the target's contour while suppress the cluttered background, obtain a balance between over and lose detection, besides, it has better accuracy with less computational complexity and time-consuming.

关键词： contour enhancement texture suppression horizontal connection visual perception

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A Novel Method Using Gabor-based Multiple Feature and Ensemble SVMs For Ground-based Cloud Classification

A Novel Method Using Gabor-based Multiple Feature and Ensemb...

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Liu, Ruitao Yang, Weidong Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Natl Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819485786

Cloud recognition is the base of weather forecast and the recognition of cloud types is challenging because the texture of the clouds is extremely variable under different atmospheric conditions. In this paper, we propose a novel method for ground-based cloud classification. Firstly, the interest operator feature (IO) and the sorted spectral histogram (SSH) feature are generated from Gabor-filtered images and then they are selected by using the principal component analysis (PCA), which can reduce the feature's dimension. Secondly the new training set is selected using the supervised clustering technology. Finally we send the two features to the multi-class SVM classifier, and a voting algorithm is used to determine the category of each cloud. In practice, we find no single feature is best suited for recognizing all these classes. The result shows that this method has higher classfication accuracy and lower space complexity than the other methods.

关键词： Ground-based cloud classification Gabor filter sorted spectral histogram support vector machine

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Detecting Skin Colors under Varying Illumination

Detecting Skin Colors under Varying Illumination

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Liu, Leyuan Huang, Rui Yang, Saiyong Sang, Nong Huazhong Univ Sci & Technol Natl Key Lab Sci & Technol Multispectral Informat Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819485786

Skin color has been used as an important cue for various human related computer vision applications. However, detecting skin colors under varying illumination is a challenging task, as the appearance of skin in an image highly depends on the illumination under which the image was taken. To this end, a method for detecting skin colors under varying illumination is proposed in this paper. First, spatial illumination variation is identified and the images are segmented into different regions with different illumination. Each illumination region of color images are corrected base on the illuminant estimated by a local edge-based color constancy algorithm. Then, the corrected images are transformed into a color-space, where statistical results on a skin dataset show that the skin color cluster and non-skin color clusters are separated. Finally, the skin colors are modeled under Bayesian decision framework and classified from non-skin colors. The experimental results show that the proposed method is robust to illumination variations.

关键词： skin color detection varying illumination color constancy color correction

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A novel 3D convex surface reconstruction method based on visual hull

A novel 3D convex surface reconstruction method based on vis...

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Li, Qingguang Xu, Shengyong Xia, Dan Li, Dehua Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819485786

3D reconstruction is one of main techniques for computer vision. A novel 3D convex surface reconstruction method is presented in this paper, which is based on visual hull principle. The real object is supposed to be surrounded by a 3D grid bounding box filled with voxels. A series of images of the object are captured by a calibrated camera in different locations. For each image, a series of virtual rays, each of which starts from an image silhouette point and drills through the camera center, intersect the voxels in bounding box to obtain a number of potential object surface points. Afterward, the potential surface points are projected onto the other images to eliminate the pseudo surface points which must locate outside the object image area in at least one image. When all images are processed, the surface points of whole object are obtained and then 3D surface is reconstructed. The experiment illuminates the feasibility and validity of our approach.

关键词： convex surface, 3D reconstruction visual hull image silhouette

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An automatic DSM and remote sensing images registration scheme using template matching technique

An automatic DSM and remote sensing images registration sche...

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Qin, Yueming Cao, Zhiguo Zhuo, Wen Huazhong Univ Sci & Technol Inst Pattern Recognit & AI Natl Key Lab Sci & Tech Multispectral Informat Pr Wuhan 430074 Peoples R China

ISBN: (纸本)9780819485786

In this paper, a novel automatic DSM and remote sensing images registration scheme using template matching technique is developed. Due to the heterogeneity of DSM and remote sensing images, the emphases of our scheme are to describe the common feature between DSM and remote sensing images, and to generate a suitable template for template matching. Based on the sparse representation theory, we present a new feature descriptor, which can highlight the similarities of DSM and remote sensing images, and can be used to form a new kind of feature image. Meanwhile we present a criterion to choose the proper region from the feature image as the template which will ensure perfect template matching performance. The experiment results show that our scheme is efficient to fulfill the task of registration.

关键词： DSM remote sensing image registration template matching

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A Method of Frost Observation Based on Intensity Changing Regularity Simulation and Texture Analysis

A Method of Frost Observation Based on Intensity Changing Re...

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Zhu, Lei Cao, Zhiguo Zhuo, Wen Yan, Ruicheng Huazhong Univ Sci & Technol Inst Pattern Recognit & AI Natl Key Lab Sci & Tech Multispectral Informat Pr Wuhan 430074 Peoples R China

ISBN: (纸本)9780819485786

Frost is a kind of ground coagulation phenomena, and if the temperature of dew point is below 0C degrees, the water vapor condenses as solid, which is called frost. The frost phenomena observing is an important step in daily ground observation work, and the results is one of 36 critical data in meteorological observation field. This work is usually accomplished by manual. In this paper, we propose an effective method for frost observation based on image processing. The changing of frost formation process is well simulated by using the curve fitting of gray correlation coefficient between certain lengths of frames, while the characteristic of frost surface texture is also well described by texture analysis based on texture descriptor. The experiment results show that our method can get high detection accuracy in the different kinds of continuous changing environment.

关键词： frost observation meteorological observation image processing regularity simulation gray correlation texture analysis

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Object Tracking in Visual Surveillance using Narrow Band-based Graph Cuts

Object Tracking in Visual Surveillance using Narrow Band-bas...

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Liu, Liman Tao, Wenbing Tian, Jinwen Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9780819485786

Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Graph Cut have been proposed. However, because of its globally optimal nature, it is prone to capture outlying areas similar to the object of interest. Constraint was introduced to confine the standard graph cut technique in many methods. In this paper, narrow band is introduced to constrain the standard graph cut where it is build on. With the narrow band constraint, segmentation is ensured to remain in it, which is useful when the result is not robust using standard graph cut. Secondly, Graph Cut is built based on the band region, compared with traditionally method, calculation cost is reduced. Thirdly, formulations are adjusted to distinguish between different parts of the narrow band, which improve the segmentation quality.

关键词： Object segmentation object tracking graph cuts narrow band

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Reference Image Generation Based on Three-Dimensional Realistic Scene Modeling for Contour-based Infrared ATR algorithm

Reference Image Generation Based on Three-Dimensional Realis...

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7th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Li, Hang Ming, Delie Tian, Jinwen Gao, Chenqiang Jie, Feiran Lei, Bo Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China Chongqing Univ Posts & Telecommun Chongqing Key Lab Signal & Informat Proc Chongqing 400065 Peoples R China Sci & Technol Electro Opt Control Lab Luoyang Henan 471009 Peoples R China

ISBN: (纸本)9780819485786

A reference image creating approach is proposed in this paper for contour-based infrared ATR algorithm. The approach based on three-dimensional realistic scene modeling consists of five parts: three-dimensional scene model construction, view plane simulation, coordinates transformation and perspective projection, visible-surface identification and three-dimensional rendering algorithm, contour extraction algorithm. By using this approach, a distinctively reference image is rapidly generated at multiple objective views and different scales. Numerical experiments are chosen to test proposed method from velocity performance. The experimental results indicate that the performance of the proposed technique is better than that of other methods.

关键词： ATR algorithm reference image generation three-dimensional realistic modeling contour extraction

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Guest Editors' Introduction to the Special Section on Award-Winning Papers from the IEEE Conference on computer vision and pattern recognition 2009 (CVPR 2009)

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IEEE TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 2011年第12期33卷 2339-2340页

作者： Essa, Irfan Kang, Sing Bing Pollefeys, Marc Georgia Inst Technol Sch Interact Comp Atlanta GA 30332 USA Microsoft Corp Redmond WA 98052 USA ETH Dept Comp Sci CH-8092 Zurich Switzerland

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