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检索条件"机构=Key Laboratory of Image Processing and Pattern Recognition"

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Active learning for transferrable object classification in cross-view traffic scene surveillance

Active learning for transferrable object classification in c...

引用

13th Pacific-Rim Conference on Multimedia, PCM 2012

作者： Zhang, Zhaoxiang Tang, Jun Zhao, Yuhang Wang, Yunhong Liu, Jianyun Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9783642347771

We discuss the problem of object classification in cross-view traffic scene surveillance videos in this paper. To classify moving objects in traffic scene videos into pedestrian, bicycle and variety of vehicles, an effective intelligent classification framework has been proposed which takes advantage of a transfer machine learning method to bridge the gap between source scene data and target scene data. The transfer learning algorithm makes one classifier adaptive to perspective changes instead of training two different classifiers for corresponding perspectives. The samples transferred from source scene database have saved much manual labeling work on target scene database. In this paper, we propose an active transfer learning method to decrease manual labeling work further for target scene traffic object classification. Redundant experiments are conducted and experimental results demonstrate the effectiveness and convenience of our approach. © 2012 Springer-Verlag.

关键词： Learning algorithms

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A hybrid local feature for face recognition

A hybrid local feature for face recognition

引用

12th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2012

作者： Gou, Gaopeng Huang, Di Wang, Yunhong Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9783642326943

Efficient face encoding is an important issue in the area of face recognition. Compared to holistic features, local features have received increasing attention due to their good robustness to pose and illumination changes. In this paper, based on the histogram-based interest points and the speeded up robust features, we propose a hybrid local face feature, which provides a proper balance between the computational speed and discriminative power. Experiments on three databases demonstrate the effectiveness of the proposed method as well as its robustness to the main challenges of face recognition and even in practical environment. © 2012 Springer-Verlag.

关键词： Face recognition

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Towards independent color space selection for human skin detection

Towards independent color space selection for human skin det...

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13th Pacific-Rim Conference on Multimedia, PCM 2012

作者： Xu, Tao Wang, Yunhong Zhang, Zhaoxiang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9783642347771

Skin color detection plays an important role in video based applications. Without considering the selection of suitable color space, a novel skin color detection method is proposed based on the flexible neural tree, which can identify the important components of color spaces automatically. With large training data sets, our method builds a flexible neural tree structure and optimizes its parameters using Genetic Programming and Particle Swarm Optimization algorithms. In experiments, features comprised of all channels extracted from RGB, YCbCr and HSV color spaces are used for the constructing and evaluating of the novel skin color model, in which six most important components, i.e., R, G, B, Y, Cr and S are selected for testing. Furthermore, our method achieves higher accuracy and lower false positive rate than state of the art methods on Compaq and ECU data set. © 2012 Springer-Verlag.

关键词： Genetic programming

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Learning Multiple Pooling Combination for image Classification

Learning Multiple Pooling Combination for Image Classificati...

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International Joint Conference on Neural Networks

作者： Junlin Hu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University

ISBN: (纸本)9781467314886

Recently sparse coding with spatial pyramid matching method has shown its excellent performance in image classification. Inspired by this technique, we present an image classification approach by learning the optimal Multiple Pooling Combination strategy based on Non-Negative Sparse Coding (MPC-NNSC) in this paper. First, non-negative sparse coding with three different pooling methods as well as spatial pyramid matching method are utilized to encode local descriptors for image representation, respectively. Then a promising weight learning approach is employed to find a set of optimal weights for best fusing all these pooling methods in different scales. Lastly, support vector machine classifier with linear and histogram intersection kernel is employed for the final classification task. Experiments on two popular benchmark datasets are presented and they demonstrate the better performance of the proposed scheme compared to the state-of-the-art methods.

关键词： image classification pooling Sparse coding image representation Nonnegative Pyramid

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image Segmentation Based on Visual Perception Model

Image Segmentation Based on Visual Perception Model

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2012年计算机应用与系统建模国际会议

作者： Shuai Shao Fuqing Duan Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University

image segmentation is the basis of image processing and image analysis. However, there are no common method that can be used in natural images, and present methods fail to explain understandings of human's visual system. In this paper, we propose to apply Karklin's visual perception model to extract feature vectors of images, and the features are clustered with K-means method. The results obtained in feature space are projected back to the image space to finish segmentation. A comparison with the Normalized Cuts (Ncut) method is done, and it turns out that proposed method outperform Ncut in texture rich images.

关键词： Visual perception model image segmentation Normalized cuts Feather extraction

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A Multiple Scattering in Participating Media for Real Time Rendering

A Multiple Scattering in Participating Media for Real Time R...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Ping Guo Yuanlong Wang Image Processing and Pattern Recognition Laboratory Beijing Normal University

ISBN: (纸本)9781467317139

At present, multiple scattering problems in participating media is still very challenging for real time rendering. Some methods have proposed to describe multiple scattering phenomena, however, there are some restriction conditions such as requiring the medium is static, etc., and rendering speed is not satisfied real-time requirement. In order to speed up the multiple scattering rendering, we propose a GPU based algorithm in this paper. First of all, the media is initialized with a particle system and the property of each particle is defined;secondly, according to the properties of each particle, a method of tracing the particle path, which is generated by uniformly sampling the surrounding particles of one particle, is proposed and this method is used to compute in-scattering radiance for each particle;finally, the total radiance is calculated by summing up contributions of particles along ray paths and the final image is rendered. The experimental results show that the proposed algorithm can achieve the real-time rendering effect.

关键词： Component Computer graphics Ray tracing Multiple scattering Real tint e rendering Parallel computing Rendering broadcasting Scattering Ray paths particles radiance Real time

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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 multiscale recursive recognition method for flying airplane objects

A novel multiscale recursive recognition method for flying a...

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2012 International Conference on image processing, Computer Vision, and pattern recognition, IPCV 2012

作者： Zhang, Tianxu Zhou, Gang Yang, Ying Weng, Wenjie Sun, Xiangdong Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology State Key Laboratory for Multispectral Information Processing Technologies Wuhan Hubei China

ISBN: (纸本)9781601322258

In actual imaging process, the projection or silhouette of a three-dimensional moving object is variable in shape, scale and resolution to make its recognizability also unstable. A remedy is suggested on concepts defined in this paper as the dynamic feature space of the pattern. The necessity of developing feature models of multi-scale characteristic view for three-dimensional moving airplane objects and the rationality of using a usual constraint on airplane object moving characteristics are discussed. Thus, a novel multi-scale intelligent recursive recognizing (MUSIRR) method for image sequences is proposed. An intelligent recognizer composed of hybrid neural networks and logic decision-making modules is constructed with the BP neural networks and RBF networks as the building blocks of the recognizer. The rationality and effectiveness of the new method proposed in this paper have been verified by results of massive simulation and actual experiments on several types of airplane object.

关键词： Decision making

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Detection of billet character in complex production line scene

Detection of billet character in complex production line sce...

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2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012

作者： Hong, Hanyu Yu, Zhejun Zhang, Xiuhua Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan 430205 China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769547725

Character information is hard to detect in billet scene images by CCD camera. In this paper, we present a method for detection of billet characters from measurements of recursive segmented image. This recursive segmented method can be used in a wide variety of billet scenes. According to high temperature and complex scene in the rolling line, we use an effective clustering and projection characteristics to determine the terminal condition of recursive segmentation. Then we can label character candidate regions in turn by this effective characteristics, and select the regions we want to achieve. The experiments show that this method makes full use of the characteristics of region and clustering. It can improve the quality of detection, and the detection result meets the need of practical application. © 2012 IEEE.

关键词： CCD cameras

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Parallelization and Optimization of Molecular Dynamics Simulation on Many Integrated Core

Parallelization and Optimization of Molecular Dynamics Simul...

引用

International Conference on Computational Intelligence and Security

作者： Qian Yin Ruiyi Luo Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China

Molecular dynamics (MD) simulations are useful in various areas. In this paper, we parallelize and optimize the grid-based MD algorithm on Many Integrated Core (MIC) Architecture. To get full play of the hardware and accelerate computation of MD simulation, we design the parallel structure using multi-threads with OpenMP. Also, various or method such as Array Notification, intrinsic and so on are used to vectorize the application according to the character of MIC for a higher performance. Due that multi-core is also a trendy of CPU and High Performance Computing, our method can be followed by other similar applications and provide a more choice.

关键词： Microwave integrated circuits Instruction sets Force Graphics processing units Algorithm design and analysis Arrays

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