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Anti-Occlusion Correlation Filter Tracking Based on Multi-Peaks Response

Anti-Occlusion Correlation Filter Tracking Based on Multi-Pe...

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第三十八届中国控制会议

作者： Jiale Sun Longsheng Wei Wei Liu Feng Liu Min Wang Xu Yin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Aiming at the problem that the target occlusion and target loss in the target tracking process can not be solved by most tracking algorithms, anti-occlusion correlation filter tracking based on multi-peaks response is proposed. When the target is occluded, the response of the multi-peaks and the highest peaks exceeds the set thresholds, and the two-dimensional matrix of the Gaussian distribution is used to perform a point multiplication operation with the confidence map to obtain a new confidence map, and the current frame model update is stopped. Experiments show that compared with other algorithms, the algorithm has a significant improvement in tracking accuracy and speed when dealing with video sequences whose targets are occluded.

关键词： Visual tracking Correlation filter Occlusion Multi-peaks response

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Synchronization of a Class of Discrete-Time Nonlinear Singularly Perturbed complex Networks

Synchronization of a Class of Discrete-Time Nonlinear Singul...

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第三十八届中国控制会议

作者： Yongzhi Li Yuqing Li Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper, the problem of synchronization is investigated for a class of discrete-time nonlinear singularly perturbed complex networks(SPCNs). A slow sampling discrete-time nonlinear SPCN model is first devised, which includes the slow and the fast states as well as the general sector-like nonlinear functions. By utilizing the Kronecker product, a new Lyapunov function dependent on singular perturbation parameter(SPP) is constructed. A sufficient condition in terms of linear matrix inequalities(LMIs) is derived under which the discrete-time nonlinear SPCN is globally asymptotically synchronized. When these LMIs have feasible solutions, the global asymptotic synchronization is ensured and the upper bound of the SPP is evaluated. A numerical example is given to illustrate the effectiveness of our results.

关键词： complex networks Synchronization Singularly perturbed systems Discrete-time systems

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Multi-Features Fusion Based on Boolean Map for Video Saliency Detection

Multi-Features Fusion Based on Boolean Map for Video Salienc...

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第三十八届中国控制会议

作者： Longsheng Wei Min Wang Wei Liu Xinmei Wang Jiale Sun Xu Yin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Video saliency detection aims to extract salient objects in video. In order to resolve the problems of incomplete extraction salient area and the mixing between background and salient objects at boundary, this paper proposes a video saliency detection method via multi-features fusion based on Boolean Map. The main innovation in this method is that global topological relationship of video frames are utilized to compute saliency values. Firstly, boolean maps are generated according to the Boolean Map theory via combine motion features and color features in videos, and then attention maps are calculated by masking unsurroundedness area, finally, video saliency maps are obtained by fusing all attention maps. Experiments on Segtrack V2 and Fukuchi benchmark datesets show that the proposed method successfully obtains complete and clear boundary salient area, and it outperforms the other general models.

关键词： Video saliency detection Boolean map Multi-features fusion

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Extraction of Color Characteristics of Pesticide Detection Card Based on Machine Vision

Extraction of Color Characteristics of Pesticide Detection C...

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第三十八届中国控制会议

作者： fang Jin xin Tu kaifeng Dong junlei Song wenqin Mo School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper, aiming at the pesticide residue in water resources, considering the necessity of rapid detection on site,a method based on machine vision for pesticide residue detection is proposed. The method combines machine vision and image processing technology to quickly extract the RGB three-component eigenvalues of the pesticide residue detection card. Each RGB channel has 256 brightness levels, which can overcome the shortcomings of low brightness level and indistinct image,and improve the accuracy of detection. The results show that the method is simple,fast and efficient, it is suitable for quickly extracting the characteristic values of pesticide residue detection cards.

关键词： Machine vision pesticide residue detection RGB color space

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Parallel Architecture Based Iterative Segmentation Optimal Cyclic Block Kernel Learning Algorithm

Parallel Architecture Based Iterative Segmentation Optimal C...

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第三十八届中国控制会议

作者： Lu Li Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The kernel learning algorithm has been widely used to solve the generalization problem existing in reinforcement learning. However, when the state-action space of the sample is large, the computation and storage burden in the kernel learning algorithm will increase. In such case, there will be long running time and the real-time performance of the control system cannot be guaranteed. Therefore, in order to enhance the computational speed, this paper proposes a parallel architecture based iterative segmentation optimal cyclic block kernel learning algorithm. The experimental results show that the proposed method can significantly improve the computational efficiency of the kernel learning algorithm, which has important engineering practice significance.

关键词： Kernel Learning Algorithm Iterative Segmentation Cyclic Block Parallel Architecture

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An improved synchronization criterion for chaotic Lur'e systems with sampled-data control

An improved synchronization criterion for chaotic Lur'e syst...

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第三十八届中国控制会议

作者： Lei-Chao Pang Xing-Chen Shang-Guan Chuan-Ke Zhang Yong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

This paper is concerned with the asymptotical synchronization of two identical chaotic Lur'e systems using sampleddata control. Firstly, by defining the synchronization error, the synchronization of original systems is converted into the stabilization design of the error system. Then, an augmented Lyapunov-Krasovskii functional with new terms is constructed and its derivative is estimated by using Wirtinger-based integral inequality and the reciprocally convex matrix inequality. As a result,a less conservative synchronization criterion is established to design the sampled-data scheme. Finally, the advantage of the proposed method is demonstrated by a numerical example.

关键词： Synchronization Chaotic Lur'e systems Sampled-data control Lyapunov-Krasovskii functional

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Design of Surface Magneto-Optical Kerr Effect Automatic Measurement System Based on LabVIEW

Design of Surface Magneto-Optical Kerr Effect Automatic Meas...

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第三十八届中国控制会议

作者： Laizhe Zhu Kaifeng Dong Fang Jin Junlei Song Wenqin Mo School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

It is of great significance for accurate and fast magnetic measurement of high magneto-crystalline anisotropy film materials. In this paper, an surface magneto-optical Kerr effect automatic measurement system based on LabVIEW is designed according to the practical requirements of hysteresis loop measurement of magnetic films. The system takes the SR830 lock-in amplifier as core, combined with virtual instrument technology and correlative detection technology, which achieves the effective measurement of the weak Kerr signal of Ni Fe soft magnetic film material under strong noise environment, and automatically draws its hysteresis loop. The measurement system has high resolution, high output signal-to-noise ratio, high automation, and has good application value.

关键词： SMOKE hysteresis loop virtual instrument LabVIEW lock-in amplifier

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Optimal tracking control for linear discrete-time stochastic system based on adaptive dynamic programming

Optimal tracking control for linear discrete-time stochastic...

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第三十八届中国控制会议

作者： Fang Wang Xin Chen Wei Wang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper, an adaptive dynamic programming(ADP) algorithm based on value iteration is proposed to tackle the stochastic linear quadratic(SLQ) optimal tracking control problem for discrete-time systems subject to multiplicative ***, an augmented system made up of the original system and the command generator is constructed and the condition of well-posedness for SLQ problem is given. Next, the SLQ problem is converted into the deterministic problem through system transformation. Then, ADP algorithm is utilized to solve the SLQ problem with convergence analysis. In the iteration process of ADP algorithm, the system dynamics are not essential to solve the Bellman equation but are needed to update the control gain matrix. Finally, simulation results have shown that the proposed scheme for the problem gives good tracking performance.

关键词： Stochastic system optimal tracking control adaptive dynamic programming

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High Precision Tuning Device of Microwave Cavity Filter Based on Hand-eye Coordination

High Precision Tuning Device of Microwave Cavity Filter Base...

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第三十八届中国控制会议

作者： Chaolong Yao Yan Yuan Jie Li Leyu Bi School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Based on the structure and dynamic tuning characteristics of the microwave cavity filter, the method of vision assisting mechanical arm motion is used for tuning. In order to meet the flexibility and high precision requirements of the microwave cavity filter tuning system, the thesis improves image recognition and hand-eye coordination methods. Image recognition using Otsu method for image segmentation, the relative 3 d position coordinates of the target screw are obtained by edge fitting circle and image sharpness, and the screw angle was extracted by dynamically obtaining the screw groove thread area, which was used to improve the applicability and accuracy of screw positioning and thread angle extraction. The hand-eye coordination part proposes a hand-eye coordination method based on image feedback. Through the feedback of the image, the PID control robot arm is continuously moved to make the screw center and the image center overlap to achieve hand-eye coordination. The experimental results show that compared with the traditional hand-eye calibration method, the method takes less time and has lower hand-eye coordination error, which greatly improves the flexibility and precision of the tuning system. Based on the improved method of image recognition and hand-eye coordination, it can realize accurate and fast tuning of microwave cavity filter, and it also has certain guiding significance for the tuning of similar industrial equipment.

关键词： hand-eye coordination microwave cavity filter image positioning visual feedback

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Identification of Protein complex Based on Multi-label Learning Algorithm

Identification of Protein Complex Based on Multi-label Learn...

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第三十八届中国控制会议

作者： Zhu Yuan Liu Song School of Automation China University of Geoscienc Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Protein complexes are key molecular entities that play an integral role in human life activities. Systematic identification of protein complexes is an important application of data mining in the biological sciences. Existing multi-label learning algorithms can effectively label nodes belonging to different complexes in protein-protein interaction network to identify overlapping complexes. However, the protein complexes formed by the stochastic strategy may have unstable results and insufficient community quality. To solve these problems, this paper proposes a novel protein complex identification method based on multisource fused data and the multi-label learning algorithm. The descending order of the potential influence of the nodes is used as the node selection order to solve the problem of unstable partitioning of the composite results. The comprehensive similarity obtained by the link correlation and the similarity of the gene annotations is used as the node label update strategy to improve the quality of the composite. The experimental results show that the new proposed method is much more effective and feasible,and has higher precision and biological significance.

关键词： Protein-protein interaction network protein complex label propagation link coherence gene annotation

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