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Airborne moving vehicle detection for urban traffic surveillance

Airborne moving vehicle detection for urban traffic surveill...

引用

11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008

作者： Lin, Renjun Cao, Xianbin Xu, Yanwu Wei, Chuangxian Qiao, Hong University of Science and Technology China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230026 China Institute of Automation Chinese Academy of Sciences Beijing 100080 China University of Manchester United Kingdom

ISBN: (纸本)9781424421121

At present, moving vehicle detection on airborne platform has been an important technology for urban traffic surveillance. In such a situation, most commonly used methods (e.g. image subtraction) could hardly work well because of some additional difficulties such as slow movement of vehicles and jam. This paper proposed a new moving vehicle detection method named MVD-RD for airborne urban traffic surveillance. First, the non-road regions are extracted using road detection technique. Secondly, the non-road regions with no vehicles are removed according to their size. As a result of this two-stage regions shrinkage, the detection area reduces a lot. Finally, to the reduced area, image subtraction is used to get all moving regions and then moving vehicles can be accurately filtered in a simple way. The experimental results show that, compared with traditional image subtraction methods used in airborne moving vehicle detection, the proposed MVD-RD method achieves much better performance in detection rate, false alarm rate, and detection speed. © 2008 IEEE.

关键词： Vehicles

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Scheduling aircraft landing based on clonal selection algorithm and receding horizon control

Scheduling aircraft landing based on clonal selection algori...

引用

11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008

作者： Jia, Xiaolan Cao, Xianbin Guo, Yuanping Qiao, Hong Zhang, Jun University of Science and Technology of China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230026 China Institute of Automation Chinese Academy of Sciences Beijing 100080 China School of Electronic and Information Engineering Beihang University Beijing 100083 China

ISBN: (纸本)9781424421121

The task of Aircraft Landing Scheduling (ALS) is to give a landing sequence and landing times for a given set of aircrafts where many constraints must be satisfied. ALS is an NP-hard problem with large-scale and multi-constraint characteristics, thus it is hard to find optimal solution efficiently. In this paper, a hybrid algorithm of Clonal Selection Algorithm (CSA) and Receding Horizon Control (RHC) was proposed for ALS problem. In details, constrained CSA based on infeasibility degree (IFD) schedules aircrafts in current receding horizon, and then RHC repeats that optimization procedure using excellent gene segment spread (EGSS) until all aircrafts have landed. Comparative experiments show that the CSA-RHC hybrid algorithm is able to obtain an optimal landing sequence and landing times rapidly and effectively. © 2008 IEEE.

关键词： Computational complexity

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An Energy-Aware Coverage Based Node Scheduling Scheme for Wireless Sensor Networks

An Energy-Aware Coverage Based Node Scheduling Scheme for Wi...

引用

The 9th International Conference for Young Computer Scientists(第九届国际青年计算机大会)

作者： Jinxia Liu Naijie Gu Songsong He Dept. of Computer Science and Technology University of Science and Technology of China Hefei Anhui 230027 China Anhui Province Key Laboratory of Computing and Communication Software Hefei Anhui 230027 China

A fundamental issue in wireless sensor network is to extend network lifetime while maintaining network coverage and connectivity. Protection for sensors themselves is another important concern. An Energyaware Coverage based Node Scheduling scheme (ECNS) is proposed to provide protection for sensors and guarantees network connectivity and desired coverage level. ECNS enables each node to decide whether it is eligible to turn off to conserve energy through local information exchange with its neighbors. Simulation results show that ECNS improves network performance with respect to energy conservation, load balance and network lifetime.

关键词： Sensor network coverage network connectivity lifetime node scheduling scheme.

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Infrared Facial Expression Recognition Using Wavelet Transform

Infrared Facial Expression Recognition Using Wavelet Transfo...

引用

International Symposium on Computer Science and Computational Technology, ISCSCT

作者： Shangfei Wang Siliang Lv Xufa Wang Department of Computer Science and Technology Key Laboratory of Software Computing and Communication Anhui University of Science and Technology Hefei Anhui China

Since infrared images reflect the temperature-field distributing of vein¿s embranchment of the face, expression recognition from them should focus on changes of thermal distribution on facial muscles and blood vessels, which caused by mood variety. These thermal changes can be regarded as texture features of images. Wavelet transform is a good tool to analyze multi-scale, multi- direction changes of texture. Therefore, this paper presented a facial expression recognition method from thermal images using wavelet transform. Firstly, the status quo of the researches on infrared facial expression recognitions was briefly surveyed and analyzed. Secondly, wavelet transforms were used to extract image features. Thirdly, the ¿Euclidian Distance Maximizing Method¿ we proposed was adopted to select features. Then principal component analysis was employed to reduce feature dimension and NN was used as a classifier. Finally, experiments on medium-wave thermal facial expressions database of Equinox evaluated the effectiveness of our approach.

关键词： Face recognition Wavelet transforms Image recognition Infrared imaging Emotion recognition Facial muscles Blood vessels Biomedical imaging Mood Wavelet analysis

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Airborne moving vehicle detection for urban traffic surveillance

Airborne moving vehicle detection for urban traffic surveill...

引用

International Conference on Intelligent Transportation

作者： Renjun Lin Xianbin Cao Yanwu Xu Chuangxian Wei Hong Qiao Anhui Province Key Laboratory of Software Computing and Communication University of Science and Technology Hefei China University of Manchester Institute of Science and Technology UK Institute of Automation Chinese Academy and Sciences Beijing China

关键词： Vehicle detection Surveillance Road vehicles Cameras Road transportation Layout Intelligent transportation systems Optical filters Intelligent vehicles Air transportation

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Representative Template Set Generation Method for Pedestrian Detection

Representative Template Set Generation Method for Pedestrian...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Pei Wu Xian-Bin Cao Yan-Wu Xu Hong Qiao Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China Institute of Automation Chinese Academy and Sciences Beijing China

Template matching is an effective approach for pedestrian detection. In order to achieve real-time and accurate detection, how to obtain a suitable representative template set is still an open problem due to the large variety of pedestrian shape. This paper introduced a representative template generation method for a template matching based pedestrian detection system (PDS). Based on nonlinear manifold learning and clustering, the new approach can generate a suitable representative template subset from a large amount of original templates. First, an improved nonlinear dimensionality reduction method was proposed to map original templates to feature vectors (points) in the low-dimensional embedding space; second, representative points were generated in the embedding space by clustering; at the end, corresponding representative template set were synthesized by mapping inversely the newly generated points from the embedding space to the visual input *** experimental results showed that the template generation method speeds up detection procedure without considerable loss of performance.

关键词： Shape Laboratories communication system software Vehicle detection Fuzzy systems Automation Performance loss Vehicles Object detection Pattern matching

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A low-cost pedestrian-detection system with a single optical camera

A low-cost pedestrian-detection system with a single optical...

引用

作者： Cao, Xian-Bin Qiao, Hong Keane, John IEEE Department of Computer Science and Technology University of Science and Technology of China Hefei 230026 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230026 China Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China School of Informatics University of Manchester M60 1QD Manchester United Kingdom University of Manchester M13 9PL Manchester United Kingdom

The ultimate purpose of a pedestrian-detection system (PDS) is to reduce pedestrian-vehicle-related injury. Most such systems tend to adopt expensive sensors, such as infrared devices, in expectation of better performance. In comparison, a low-cost optical-camera-based system has much potential practical value, including a greater detection range, and can easily be trained to detect other objects. However, such low-cost systems are difficult to design (e.g., little original information can be collected, and the scene is very complex). To address these problems, an effective and reliable classifier is needed. The classifier should have a proper structure, its features need to be well selected, and a large number of high-quality samples are necessary for training. In this paper, we present a low-cost PDS which only uses a single optical camera. We design a cascade classifier to achieve an effective and reliable detection. First, our system scans two sequential frames at each zoom scale with a sliding window. Second, with each window, both appearance and motion features are extracted. A well-trained cascade classifier, combining statistical learning with a decomposed support-vector-machine classifier, then determines whether the window contains a human body. At the same time, to provide as much information as possible about the pedestrian, a small-scale weighted template tree trained by a coevolutionary algorithm is adopted to identify each pedestrian's direction, and the distance of each from the vehicle is also provided using an estimation algorithm. During the training procedure, we select key features by using the AdaBoost algorithm and a large number of high-quality samples. Experimental results demonstrate that the system is suitable for pedestrian detection in city traffic: The detection speed is more than 10 ft/s, the detection rate reaches 80%, and the false positive rate is no more than 0.3‰. © 2008 IEEE.

关键词： Pedestrian safety

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Network Security Evaluation Algorithm Based on Access Level Vectors

Network Security Evaluation Algorithm Based on Access Level ...

引用

The 9th International Conference for Young Computer Scientists(第九届国际青年计算机大会)

作者： Kai Li Naijie Gu Kun Bi Hongzhu Ji Department of Computer Science and Technology University of Science and Technology of China Hefei China 230027 Anhui Province Key Lab. of Computing and Communication Software Hefei China 230027

The attack graph, a typical model-based method, is widely used in the field of network security evaluation. The biggest disadvantage of attack graph method is its exponential growth of the state space. This paper presents an efficient algorithm based on the malefactor's access level vector in every host of the network to generate a reduced attack graph in polynomial compute complexity. In this algorithm, the state space is reduced to O(nm) , where n is the number of nodes and m is the whole number of vulnerabilities in the network. We also present a standard method to generate attack templates from the vulnerabilities.

关键词： Network security evaluation attack graph access level vector attack template.

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Scheduling Model for Cognitive Radio

Scheduling Model for Cognitive Radio

引用

3rd International Conference on Cognitive Radio Oriented Wireless Networks and communications (CrownCom 2008)

作者： Ping Zhu Jinglong Li Xufa Wang Department of Computer Science and Technology Anhui Province Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China Department of Computer Science and Technology University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9781424423019

The priority queue model divides CR (cognitive radio) system users into primary user and secondary user. The primary user has preemptive priority over secondary user, while the same priority level users are FIFO served. This paper models the CR system based on scheduling technology. The secondary users are further divided into different priority levels. A hybrid priority dynamic policy, which indicates primary user's preemptive priority and secondary user's nonpreemptive priority, is developed to reduce spectrum switch overhead during spectrum leasing process. Theoretical analyzing shows that hybrid priority reduces the spectrum switch overhead and the hybrid priority improvement is a non-negative mono-increasing function of priority level. Based on the proposed policy, CR scheduling model is built and CR scheduling rule is provided and proved. Experimental comparison between CR scheduling and priority queue shows that CR scheduling gets a smaller weighted staying time sum than priority queue and the improvement increases as system becomes more congested.

关键词： Cognitive radio Priority queue CR schedule

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Scheduling Aircraft Landing Based on Clonal Selection Algorithm and Receding Horizon Control

Scheduling Aircraft Landing Based on Clonal Selection Algori...

引用

International Conference on Intelligent Transportation

作者： Xiaolan Jia Xianbin Cao Yuanping Guo Hong Qiao Jun Zhang Province Key Laboratory of Software Computing and Communication University of Science and Technology Hefei Anhui China University of Manchester Institute of Science and Technology UK Institute of Automation Chinese Academy and Sciences Beijing China School of Electronic and Information Engineering Beihang University Beijing China

The task of aircraft landing scheduling (ALS) is to give a landing sequence and landing times for a given set of aircrafts where many constraints must be satisfied. ALS is an NP-hard problem with large-scale and multi-constraint characteristics, thus it is hard to find optimal solution efficiently. In this paper, a hybrid algorithm of Clonal Selection Algorithm (CSA) and Receding Horizon Control (RHC) was proposed for ALS problem. In details, constrained CSA based on infeasibility degree (IFD) schedules aircrafts in current receding horizon, and then RHC repeats that optimization procedure using excellent gene segment spread (EGSS) until all aircrafts have landed. Comparative experiments show that the CSA-RHC hybrid algorithm is able to obtain an optimal landing sequence and landing times rapidly and effectively.

关键词： Aircraft Aerospace control Scheduling algorithm Air traffic control Processor scheduling Computational intelligence Sequences Intelligent transportation systems Linear programming Constraint optimization

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