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KLT feature based vehicle detection and tracking in airborne videos

KLT feature based vehicle detection and tracking in airborne...

引用

International Conference on Image and Graphics

作者： Cao, Xianbin Lan, Jinhe Yan, Pingkun Li, Xuelong Anhui Province Key Laboratory of Software In Computing and Communication School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an 710119 Shaanxi China

ISBN: (纸本)9780769545417

Airborne vehicle detection and tracking systems equipped on unmanned aerial vehicles (UAVs) are difficult to develop because of factors like UAV motion, scene complexity and so on. In this paper, we propose a new framework of multi-motion layer analysis to detect and track moving vehicles in airborne platform. Moving vehicles are firstly detected by registration and temporal differencing to establish motion layers. After motion layers are constructed, they are maintained over time for tracking vehicles. All vehicles are tracked by maintaining their corresponding motion layers. Our experimental results showed that compared with other previous algorithms, our method can achieve better results in terms of detection and tracking performance. © 2011 IEEE.

关键词： Antennas

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Research on ultra-dependable embedded real time operating system

Research on ultra-dependable embedded real time operating sy...

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2011 IEEE/ACM International Conference on Green computing and communications, GreenCom 2011

作者： Chen, Hui Yang, Shi Ping Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China Guangzhou Haige Communication Industry Group Guangzhou China

ISBN: (纸本)9780769544663

In this paper, to research and design ultra-dependable embedded real time operating system supporting security and safety, spatial and temporal isolation safeguard is proposed and used. Temporal isolation mechanism guarantees a subsystem can exclusively use a pre-allocated processing time without any intervention from other subsystem. On the other hand, spatial isolation implies that a subsystem cannot inadvertently access other subsystem's space resources, like memory, buffers, I/O ports, and registers. Thus, a subsystem is the owner of its resources, such as memory, I/O ports, and processor time units. From this, the real time tasks running in different subsystems never interfere with each other. To support the temporal isolation among subsystems, a two-level scheduling model is designed, which consists of a low-level cyclic schedule at the operating system level and high-level fixed priority schedule at subsystem level. Thus, a real time task in a subsystem can only be scheduled and executed during the static time window allocated to the subsystem, and any task overrun cannot cross the time window boundaries of subsystem. It is very easy to restrain a task time-failure within the subsystem with temporal isolation mechanism. In reference to spatial isolation safeguard, a based on hard currency and error holding mechanism is presented, it apply to most embedded modern processors with memory protection unit, such as i386sx, PowerPC. As a result, an ultra-dependable embedded RTOS supporting temporal and spatial isolation safeguard is implemented and verified. It is called ERTOS designed by software Engineering Institute of East China Normal University. © 2011 IEEE.

关键词： Embedded systems

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NURBS model for chaotic time series

NURBS model for chaotic time series

引用

2011 3rd International Conference on Computer Research and Development, ICCRD 2011

作者： Shao, Chenxi Xiao, Lipeng Department of Computer Science and Technology University of Science and Technology of China Hefei China Department of Modern Physics Nonlinear Science Center University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Software in Computing and Communication Hefei China

ISBN: (纸本)9781612848372

NURBS method is extensively used in the field of Geometric Modeling. Since the original NURBS method does not have time factor, it can not display the huge advantage in the dynamics field. In this article, inspired by the segmented nature of basis functions, we propose a time factor method which can be directly applied in reconstruction of missing data, with remarkable performance in matching the original data. This work does not only give an expression of chaotic time series, but also highlights a possible way for the challenge in reconstruction of missing data. © 2011 IEEE.

关键词： Time series

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An adaptive strategy for updating the memory in Evolutionary Algorithms for dynamic optimization

An adaptive strategy for updating the memory in Evolutionary...

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IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE)

作者： Tao Zhu Wenjian Luo Zhifang Li Anhui Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology Hefei Anhui China University of Science and Technology of China Hefei Anhui CN

The memory scheme is one of the most widely employed techniques in Evolutionary Algorithms for solving dynamic optimization problems. The updating strategy is a key concern for the memory scheme. Unfortunately, the existent memory updating strategies neglect the characteristics of the memory updating behaviors, and sometimes this could lead results against the original intention. In this paper, a novel updating strategy is proposed, which can adaptively update the memory according to the characteristics of the memory updating behaviors. Experiments are carried out in different kinds of dynamic environments, and the experimental results show that the proposed strategy is better than the traditional strategies.

关键词： Memory management Heuristic algorithms Optimization Generators Evolutionary computation Associative memory Redundancy

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Inter-piconet interference mitigation schemes for converged BTLE and cellular network

Inter-piconet interference mitigation schemes for converged ...

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2011 International Conference on Wireless communications and Signal Processing, WCSP 2011

作者： Hu, Ying Wang, Guizhu Shan, Lianhai Yuan, Zhi Ouyang, Yuling Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Shanghai Research Center for Wireless Communications Key Lab of Wireless Sensor Network and Communication CAS Shanghai China

ISBN: (纸本)9781457710100

In a Bluetooth Low Energy (BTLE) piconet, the master node controls the channel access by a simple polling scheme. Due to an absence of coordination among independent master nodes while accessing the wireless medium, devices will encounter high packet interference if many piconets are simultaneously operating in the same area. In this paper, we propose two schemes in the converged BTLE and cellular network, one is based on bad channel prediction for the BTLE piconets, and the other is based on frequency hopping sequences transformation. We compare the performance of the proposed algorithms with original scheme in the form of channel collision probability and new signaling overhead. The simulation results show that the proposed schemes can reduce channel collision probability significantly and simultaneously the new signaling overhead introduced to the downlink is not large. © 2011 IEEE.

关键词： Bluetooth

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Test Case Generation Based on Program Invariant and Adaptive Random Algorithm

Test Case Generation Based on Program Invariant and Adaptive...

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Advances in Information Technology and Education

作者： Yuan Yuan Zeng Fanping Zhu Guanmiao Deng Chaoqiang Xiong Neng Department of Computer University of Science and Technology of China Anhui Province Key Lab of Software in Computing and Communication

Testing is a critical activity to find software errors. And choosing an effective test suite is the key problem in software testing area. Program invariant, as an attribute of program, can record the implementation state of test case very well and reveal the coverage of program data. In this paper, we integrate adaptive random testing and invariant technology, and present a new method which makes full use of the feedback information of program invariant and invalid case suite to generate the next case. Experiment results show that, compared with other similar methods, running for the same time, our method can achieve higher coverage and faster convergence speed.

关键词： Random testing Program invariant Adaptive random algorithm Test case generation

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Directed differential evolution based on directional derivative for numerical optimization problems

Directed differential evolution based on directional derivat...

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International Conference on Hybrid Intelligent Systems (HIS)

作者： Jun Zhang Wenjian Luo School of Computer Science and Technology University of Science and Technology Hefei Anhui China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology Hefei Anhui China

Differential Evolution is one kind of Evolutionary Algorithms, which has been successfully applied to solve many optimization problems. In this paper, a directed differential mutation (DDM), which utilizes the directional derivative to decide a suitable search direction and a proper mutation step size, is proposed. It is merged into the classical DE to form a new algorithm, named directed differential evolution (DDE). The performance of the DDE is tested on 23 classical problems for numerical optimization. The experimental results demonstrate that the performance of the DDE outperforms the classical DE on most functions.

关键词： Optimization Vectors Equations Hybrid intelligent systems Algorithms Programming Maintenance engineering

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Spike sorting based on radial basis function network with overlap decomposition

Spike sorting based on radial basis function network with ov...

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作者： Dai, Min Hu, Su-Rui Qi, Jia Tianjin Key Lab of Intelligent Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the most serious problems in the spike sorting for multi-channel recordings. In this paper, a modified radial basis function (RBF) network is proposed to decompose the overlapping signals and separate spikes within the same RBF network. A modified radial basis function based on the Gaussian function is employed in the method to improve the accuracy of overlap decomposition. In addition, the improved constructing algorithm reduces the calculation cost by taking advantage of the symmetry of the RBF network. The performance of the presented method is tested at various signal-to-noise ratio levels based on simulated data coming from the University of Leicester and Wave-clus software. Experiment results show that our method successfully solves the fully overlapping problem and has higher accuracy comparing with the Gaussian function. © 2011 Elsevier Ltd. All rights reserved.

关键词： Radial basis function networks

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Modeling and analysis of collaboration network in large-scale complex software systems

Modeling and analysis of collaboration network in large-scal...

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作者： Sun, Shiwen Xia, Chengyi Wang, Li School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9789881725592

Large-scale software systems represent an important class of artificial complex systems, which can be investigated from the complex network perspective. Based on the collaboration network model, the collaboration relationships between header files from source code of large-scale computer software systems are explored. It has been found that the generated network displays a high degree of heterogeneity in connectivity. The structural heterogeneity also leads to network's another important feature - Robust yet fragile. That is the network displays an unexpected degree of robustness to random attack or disturbance, but is extremely vulnerable to intentional attack, i.e. to the removal of a few of highly connected nodes. These findings can help people to get a better understanding of the organizational principles and evolving mechanism of complex software systems. © 2011 Chinese Assoc of Automati.

关键词： Complex networks

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An Automatic Matching Algorithm Based on SIFT Descriptors for Remote Sensing Ship Image

An Automatic Matching Algorithm Based on SIFT Descriptors fo...

引用

International Conference on Image and Graphics (ICIG)

作者： Xin You Nenghai Yu MOE-Microsoft key laboratory of Multimedia Computing and Communication University of Science and Technology HeFei Anhui China

SIFT judge the true or false targets according to the density of matching feature points. But for different images, the numbers of matching feature points are different, the density is different. So SIFT can't judge the real targets automatically, requiring human-computer interaction. This paper proposes an algorithm based on SIFT realizing the automatic judgment of real targets. Firstly, do the image segmentation. Secondly, match the feature points in every area. At last, do frequency domain analysis for each matching feature vectors. The experimental results show that our algorithm solves the problem that SIFT judges the real target needing human-computer interaction. And also, our algorithm can determine the location and number of real targets.

关键词： Algorithm design and analysis Remote sensing Frequency domain analysis Image matching Marine vehicles Feature extraction Oceans

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