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Fine-grained image classification using color exemplar classifiers

Fine-grained image classification using color exemplar class...

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14th Pacific-Rim Conference on Multimedia, PCM 2013

作者： Zhang, Chunjie Xiong, Wei Liu, Jing Zhang, Yifan Liang, Chao Huang, Qingming School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing China National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783319037301

The use of local features has demonstrated its effectiveness for many visual applications. However, local features are often extracted with gray images. This ignores the useful information within different color channels which eventually hinders the final performance, especially for fine-grained image classification. Besides, the semantic information of local features is too weak to be applied for high-level visual applications. To cope with these problems, in this paper, we propose a novel fine-grained image classification method by using color exemplar classifiers. For each image, we first decompose it into multiple color channels to take advantage of the color information. For each color channel, we represent each image with a response histogram which is generated by exemplar classifiers. Experiments on several public image datasets demonstrate the effectiveness of the proposed color exemplar classifier based image classification method. © Springer International Publishing Switzerland 2013.

关键词： Image classification

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Undo the codebook bias by linear transformation for visual applications 13

Undo the codebook bias by linear transformation for visual a...

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21st ACM International Conference on Multimedia, MM 2013

作者： Zhang, Chunjie Zhang, Yifan Wang, Shuhui Pang, Junbiao Liang, Chao Huang, Qingming Tian, Qi School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China College of Computer Science and Technology Beijing University of Technology 100124 Beijing China School of Computer National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China Department of Computer Sciences University of Texas at San Antonio San Antonio TX 78249 United States

ISBN: (纸本)9781450324045

The bag of visual words model (BoW) and its variants have demonstrate their effectiveness for visual applications and have been widely used by researchers. The BoW model first extracts local features and generates the corresponding codebook, the elements of a codebook are viewed as visual words. The local features within each image are then encoded to get the final histogram representation. However, the codebook is dataset dependent and has to be generated for each image dataset. This costs a lot of computational time and weakens the generalization power of the BoW model. To solve these problems, in this paper, we propose to undo the dataset bias by codebook linear transformation. To represent every points within the local feature space using Euclidean distance, the number of bases should be no less than the space dimensions. Hence, each codebook can be viewed as a linear transformation of these bases. In this way, we can transform the pre-learned codebooks for a new dataset. However, not all of the visual words are equally important for the new dataset, it would be more effective if we can make some selection using sparsity constraints and choose the most discriminative visual words for transformation. We propose an alternative optimization algorithm to jointly search for the optimal linear transformation matrixes and the encoding parameters. Image classification experimental results on several image datasets show the effectiveness of the proposed method. Copyright © 2013 ACM.

关键词： Linear transformations

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Beyond bag of words: Image representation in sub-semantic space 13

Beyond bag of words: Image representation in sub-semantic sp...

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21st ACM International Conference on Multimedia, MM 2013

作者： Zhang, Chunjie Wang, Shuhui Liang, Chao Liu, Jing Huang, Qingming Li, Haojie Tian, Qi School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Computer National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China School of Software Dalian University of Technology Liaoning China Department of Computer Sciences University of Texas San Antonio TX 78249 United States

ISBN: (纸本)9781450324045

Due to the semantic gap, the low-level features are not able to semantically represent images well. Besides, traditional semantic related image representation may not be able to cope with large inter class variations and are not very ro- bust to noise. To solve these problems, in this paper, we propose a novel image representation method in the sub- semantic space. First, examplar classifiers are trained by separating each training image from the others and serve as the weak semantic similarity measurement. Then a graph is constructed by combining the visual similarity and weak se- mantic similarity of these training images. We partition this graph into visually and semantically similar sub-sets. Each sub-set of images are then used to train classifiers in order to separate this sub-set from the others. The learned sub-set classifiers are then used to construct a sub-semantic space based representation of images. This sub-semantic space is not only more semantically meaningful but also more reli- Able and resistant to noise. Finally, we make categorization of images using this sub-semantic space based representation on several public datasets to demonstrate the e®ectiveness of the proposed method. Copyright © 2013 ACM.

关键词： Image representation

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Optimal cooperative pursuit on a Manhattan grid

Optimal cooperative pursuit on a Manhattan grid

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AIAA Guidance, Navigation, and control (GNC) Conference

作者： Kalyanam, Krishnamoorthy Darbha, Swaroop Khargonekar, Pramod Pachter, Meir Chandler, Phil InfoSciTex corporation Dayton OH 45431 United States Department of Mechanical Engineering Texas A and M University College Station TX 77843 United States Department of Electrical and Computer Engineering University of Florida Gainesville FL 32611 United States Department of Electrical Engineering Air Force Institute of Technology Wright-Patterson AFB OH 45433 United States Air Force Research Laboratory Control and Automation Branch Wright-Patterson AFB OH 45433 United States

ISBN: (数字)9781624102240

ISBN: (纸本)9781624102240

The optimal control of two pursuers searching for a slower moving evader on a Manhattan grid road network is considered. The pursuers do not have on-board capability to detect the evader and rely instead on Unattended Ground Sensors (UGSs) to locate the evader. We assume that all the intersections in the road network have been instrumented with UGSs. When an evader passes by an UGS location, it triggers the UGS and this time-stamped information is stored by the UGS. When a pursuer arrives at an UGS location, the UGS informs the pursuer if and when the evader passed by. When the evader and a pursuer arrive at an UGS location simultaneously, the UGS is triggered and this information is instantly relayed to the pursuer, thereby enabling "capture". We derive exact values for the minimum time guaranteed capture of the evader on the Manhattan grid and the corresponding pursuit policy.

关键词： Location

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Application of PID retuning method for laboratory feedback control system incorporating FO dynamics

Application of PID retuning method for laboratory feedback c...

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International Carpathian control Conference (ICCC)

作者： L'ubomír Dorčák Emmanuel Gonzalez Ján Terpák Ivo Petráš Juraj Valsa Monika Žecová Institute of Control and Informatization of Production Processes Faculty BERG Technical University of Košice Kosice Slovakia Center for Automation Research College of Computer Studies De La Salle University Manila Philippines Faculty of Electrical Engineering and Computer Science Brno University of Technology Brno Czech Republic

Real objects in general are fractional-order (FO) systems, although in some types of systems the order is very close to integer order (IO). Since major advances have been made in the theory and practice of the identification of FO controlled objects and in the design of FO controllers, it is possible to consider also the real order of the dynamical systems and consider more quality criterion while designing the FO controllers with more degrees of freedom compared to their IO counterparts. In this paper, we present an application of the retuning method to design and apply new FO controller for the existing laboratory feedback control system with no modifications in the internal architecture of the original feedback control system. Along with the mathematical description, presented are also simulation results.

关键词： Closed loop systems Feedback control Mathematical model Laboratories Educational institutions PD control

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On an LQ control problem anomaly and a possible solution

On an LQ control problem anomaly and a possible solution

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IASTED International Conference on control and Applications, CA 2012

作者： Keviczky, László Bokor, József Computer and Automation Research Institute of the Hungarian Academy of Sciences Control Engineering Research Group of the HAS Department of Automation and Applied Informatics Kende u 13-17 H-1111 Budapest Hungary

ISBN: (纸本)9780889869226

The specific relationships between the classical pole-placement state feedback, the RICCATI equation based LQ paradigm and the KALMAN frequency domain approach are discussed. It is shown that arbitrary pole placement is not possible by standard LQ optimality. A possible solution of this anomaly is to use more general LQ criterion with specific weights on the state, input and crossterm.

关键词： State feedback

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Optimum weight selection based LQR formulation for the design of fractional order PIλDμ controllers to handle a class of fractional order systems

Optimum weight selection based LQR formulation for the desig...

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International Conference on computer Communication and Informatics (ICCCI)

作者： Saptarshi Das Indranil Pan Kaushik Halder Shantanu Das Amitava Gupta Department of Power Engineering Jadavpur University Kolkata India Communications Signal Processing and Control Group School of Electronics and Computer Science University of Southampton Southampton UK Department of Electronics and Instrumentation Engineering National Institute of Science and Technology Berhampur Orissa India Reactor Control Division Bhabha Atomic Research Centre Mumbai India

ISBN: (纸本)9781467329064

A weighted summation of Integral of Time Multiplied Absolute Error (ITAE) and Integral of Squared controller Output (ISCO) minimization based time domain optimal tuning of fractional-order (FO) PID or PI λ D μ controller is proposed in this paper with a Linear Quadratic Regulator (LQR) based technique that minimizes the change in trajectories of the state variables and the control signal. A class of fractional order systems having single non-integer order element which show highly sluggish and oscillatory open loop responses have been tuned with an LQR based FOPID controller. The proposed controller design methodology is compared with the existing time domain optimal tuning techniques with respect to change in the trajectory of state variables, tracking performance for change in set-point, magnitude of control signal and also the capability of load disturbance suppression. A real coded genetic algorithm (GA) has been used for the optimal choice of weighting matrices while designing the quadratic regulator by minimizing the time domain integral performance index. Credible simulation studies have been presented to justify the proposition.

关键词： Tuning Time domain analysis Regulators Minimization Performance analysis Process control Genetic algorithms

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Optimization of the modeling loss contributing to the sensitivity function

Optimization of the modeling loss contributing to the sensit...

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IASTED International Conference on control and Applications, CA 2012

作者： Bányász, Csilla Keviczky, László Computer and Automation Research Institute of the Hungarian Academy of Sciences Control Engineering Research Group of the HAS Department of Automation and Applied Informatics Kende u 13-17 H-1111 Budapest Hungary

ISBN: (纸本)9780889869226

The control error in a generic two-degree of freedom (TDOF) control system can be decomposed into three major parts: design-, realizability- and modeling-loss. This new decomposition opens useful ways for practical optimization of TDOF systems and helps the construction of new algorithms for robust identification and control. The paper investigates the optimality of the third term.

关键词： Degrees of freedom (mechanics)

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Model structure validation of cell signaling pathways using colored petri nets

Model structure validation of cell signaling pathways using ...

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8th International Symposium on Advanced control of Chemical Processes, ADCHEM 2012

作者： Csercsik, Dvid Hangos, Katalin M. Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)9783902823052

In this paper we propose a novel colored timed Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typically qualitative, roughly detailed measurement data. In this approach, tokens are present all the time at all of the places, and their color corresponds to the actual quantized activation state of the signaling component. The activation states are updated according to the progression of the signal through the signaling network. We demonstrate the results on a signaling network, which describes the interaction of fast (G protein coupled) and slow (β-arrestin coupled) transmission. © 2012 IFAC.

关键词： Cell signaling

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Comparison of Corner Detector and Region Detector for Vision-Based SLAM

Comparison of Corner Detector and Region Detector for Vision...

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International Conference on control, automation and Systems

作者： Byung-moon Jang Tae-jae Lee Dong-hoon Lee Kyung-min Han Dong-il "Dan" Cho Automation and Systems Research Institute (ASRI) and School of Electrical Engineering and Computer Science Seoul National University Kwanak-ku Seoul 151-742 Korea LG electronics Tech. Control Team HA Control R&D Lab Gassan R&D Campus 327-23 Gasan-dong Geumcheon-gu Seoul 153-802 Korea

ISBN: (纸本)9781479905492

This paper presents the performances of a corner detector and a region detector in vision-based Simultaneous Localization and Mapping (SLAM). In vision-based SLAM, a feature detection process for data-association is the first step. Therefore, the repeatability of a feature detector is important. Feature detectors are generally categorized as the region detector and the corner detector. There are conflicting research results for the repeatability of corner detectors and region detectors. This paper shows SLAM results using a corner detector and a region detector. Extended Kalman Filters (EKF) are used for implementing the two SLAM methods. The localization errors are evaluated quantitatively. From the experimental results, it is demonstrated that the comer detector is more efficient than the region detector for the work performed in this paper.

关键词： SLAM comer detector region detector blob vision

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