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Real-time multi-vehicle detection and sub-feature based tracking for traffic surveillance systems

Real-time multi-vehicle detection and sub-feature based trac...

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international asia conference on informatics in control, automation and robotics, CAR

作者： Lili Huang Department of Electrical Engineering University of California Riverside Riverside CA USA

ISBN: (纸本)9781424451920

As traffic surveillance technologies continue to grow worldwide, vehicle detection, counting and tracking are becoming increasing important. This paper proposes a real-time multi-vehicle detection and tracking approach. Lane marker detection is carried out for vehicle counting on each lane. It also helps remove the foreground noise and shadow. Instead of tracking the entire vehicle blob, vehicle sub-feature based Kalman filter is used in tracking. By implementing sub-feature tracking, this system is more robust to partial occlusions, which happens a lot in congestions. This approach is scalable to most freeway surveillance video. Several freeway surveillance videos are used to evaluate the performance of the traffic surveillance system. The proposed approach is compared with the standard blob tracking. Test results demonstrated that our approach outperforms blob tracking in correct tracking rate. The performance of our method is also illustrated with different video image sampling rates.

关键词： Real time systems Surveillance Vehicle detection Vehicles Traffic control Target tracking Cameras Monitoring robotics and automation Motion detection

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Self configuration of 4G network terminals

Self configuration of 4G network terminals

引用

international asia conference on informatics in control, automation and robotics, CAR

作者： Guangxiang Yang Hua Liang School of Computer Science and Information Engineer Chongqing Technology and Business University Chongqing China

ISBN: (纸本)9781424451920;9781424451937

As the emerging of 4G network, which is the convergence of fixed and mobile networks, there is a great need for the changing of traditional terminal devices to adaptively and intelligently meet the requirements of users. This paper proposes a novel framework and mechanism for self configuration of receivers that operate in heterogeneous environments and in 4G networks. The presented management framework supports dynamically modeling, strategy based optimization for construction of a self configured, self managed and adaptive 4G terminals. For this highly heterogeneous communications and services environment, we propose a framework of Terminal Management System based on self configuration of the terminals by interoperating with existing service delivery, aims to provide seamless service and ABC(Always Best Connected) connections to mobile users. Access network selection and QoS of service are the important factors which have crucial impacts on self-configuration and re-configuration process of 4G terminals. Two separate problems are identified in this paper to satisfy the self configuration and re-configuration of receivers: one involving the framework of self configuration, and the other concerning the optimization algorithm of service configuration in light of quality levels and other parameters.

关键词： Quality of service robotics and automation Computer science Mobile computing Environmental management Resource management asia informatics Automatic control Robot control

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The minimum incremental maintenance of materialized views in data warehouse

The minimum incremental maintenance of materialized views in...

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international asia conference on informatics in control, automation and robotics, CAR

作者： Lijuan Zhou Qian Shi Haijun Geng Information Engineering College Capital Normal University Beijing China

ISBN: (纸本)9781424451920;9781424451937;9781424451944

A large number of materialized views are stored in data warehouse to enable users to quickly get search results for OLAP analysis. But when the remote basic data source changes, the materialized views in data warehouse are also updated correspondingly in order to maintain the consistency with basic relations, which causes materialized views maintenance issues. There are two methods for materialized views maintenance. One way is to re-compute the views, which can lead to extra large storage and maintenance cost and is sometimes unachievable due to storage limitation. So incremental maintenance technique is more preferable in recent years. Its principle is that data source reports its changes to the integrator who then calculates the corresponding changes and inform the database with the results. Incremental maintenance technique is adopted in this paper. The amount of incremental data is different for the same view when adopting different methods, which result in different maintenance costs. The idea and strategy of minimum incremental maintenance is presented. The materialized view definitions and maintenance expressions, as well as algorithms are given. The experiment shows that the maintenance cost of materialized views is decreased and data warehouse processing efficiency is improved.

关键词： Data warehouses Costs Data engineering Educational institutions Monitoring robotics and automation Database systems asia informatics Automatic control

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Simulation environment and guidance system for AUV tracing chemical plume in 3-dimensions

Simulation environment and guidance system for AUV tracing c...

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international asia conference on informatics in control, automation and robotics, CAR

作者： Yu Tian Aiqun Zhang Chinese Academy of Sciences Beijing Beijing CN State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China

ISBN: (纸本)9781424451920;9781424451937

Due to its significant potential applications, underwater chemical plume exploration and source localization via an autonomous underwater vehicle (AUV) is currently a hot subject both in AUV and oceanic engineering research communities. Chemical plume including buoyant stem and non-buoyant part such as deep-sea hydrothermal plume is a typical dynamic 3D feature in the ocean environment; therefore, finding and tracing chemical plume and localizing its source require the AUV to explore in the 3D space. In order to study and optimize the 3D version of the AUV strategies and behaviors for chemical plume exploration and source localization, a simulation environment comprising a 3D plume simulation module, and a guidance system which enables the AUV to navigate in a 3D fashion accurately as planned by the high-level planning system are presented in this paper. Simulation results are given and illustrate the performance of the proposed simulation environment and guidance system.

关键词： Chemical sensors Underwater vehicles Vehicle dynamics Navigation Remotely operated vehicles robotics and automation Oceans Sensor phenomena and characterization Mobile robots Nonlinear equations

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Massive data mining based on item sequence set grid space

Massive data mining based on item sequence set grid space

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international asia conference on informatics in control, automation and robotics, CAR

作者： Lijuan Zhou Zhang Zhang Mingsheng Xu Information Engineering College Capital Normal University Beijing China

ISBN: (纸本)9781424451920;9781424451937;9781424451944

According to the stored mode of massive data in the relational database, this paper proposed a fast mining algorithm to find maximum frequent item sets based on item sequence set grid space. The traditional methods for mining association rules generate frequent item sets from small to large. These approaches are either time consuming or computationally expensive, and often generate a large number of redundant candidates or frequent item sets, which is fatal for controlling mining speed as data to mass-level. The goal of this paper is first to use a self-defined structure linked list to storage item sequence then to find the frequent item sets from large to small. Several applications of association rules mining using item sequence set grid space has a good performance but it demonstrated inefficiency in massive data mining. The problem involves time spent on sub item sets finding. Experimental results will be presented to show that the fast mining algorithm ISSDL-DM proposed in this paper use much less time than the similar existing algorithm ISS-DM for achieving the same outcomes.

关键词： Data mining Association rules Transaction databases Mesh generation Data engineering Educational institutions robotics and automation asia informatics Automatic control

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A clustering-Based KNN improved algorithm CLKNN for text classification

A clustering-Based KNN improved algorithm CLKNN for text cla...

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international asia conference on informatics in control, automation and robotics, CAR

作者： Lijuan Zhou Linshuang Wang Xuebin Ge Qian Shi Information Engineering College Capital Normal University Beijing China

ISBN: (纸本)9781424451920;9781424451937;9781424451944

As a simple, effective and nonparametric classification method, k Nearest Neighbor (KNN) is widely used in document classification for dealing with the much more difficult problem such as large-scale or many of categories. But KNN classifier may have a problem when training samples are uneven. The problem is that KNN classifier may decrease the precision of classification because of the uneven density of training data. To solve the problem, a new clustering-based KNN method is presented in this paper. It preprocesses training data by using clustering, then classify with a new KNN algorithm, which adopts a dynamic adjustment in each iteration for the neighborhood number K. This method would avoid the uneven classification phenomenon and reduce the misjudgment of the boundary testing samples. We have an experiment in text classification and the result shows that it has good performance.

关键词： Clustering algorithms Text categorization Testing Classification algorithms Educational institutions Nearest neighbor searches Support vector machines Support vector machine classification robotics and automation Large-scale systems

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Multiple swarms immune clonal quantum-behaved particle swarm optimization algorithm and the wavelet in the application of forecasting foundation settlement

Multiple swarms immune clonal quantum-behaved particle swarm...

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international asia conference on informatics in control, automation and robotics, CAR

作者： Qiqing Duan Ruihai Wu Jiwen Dong School of civil engineering and architecture University of Ji''nan Jinan China School of Information Science and Engineering University of Ji''nan Jinan China

ISBN: (纸本)9781424451920;9781424451937;9781424451944

To solve the problem of the quantum-behaved particle swarm optimization algorithm (QPSO) easy falling into the local optima, we proposed the multiple swarm immune clonal quantum-behaved particle swarm optimization algorithm in which the swarm was divided into two subgroups dynamically according to the particle's fitness. In the better fitness subgroup, we carried immune clonal algorithm with Gaussian mutation to do local searching, and in the other subgroup we carried immune clonal algorithm Cauchy mutation to do global searching. And we also made a compare with standard quantum-behaved particle swarm optimization with wavelet de-noise. From these experiment results we can see that this improved method had a better ability of searching global and local optimum and a high forecasting precision.

关键词： Particle swarm optimization Continuous wavelet transforms Wavelet analysis robotics and automation Information science Genetic mutations Buildings Monitoring Information analysis Signal analysis

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Efficient locomotion on non-wheeled snake-like robots

Efficient locomotion on non-wheeled snake-like robots

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作者： Colorado, Julián Barrientos, Antonio Rossi, Claudio Garzón, Mario Galán, María Del Cerro, Jaime Robotics and Cybernetics Group Robotics and Automation Center UPM-CSIC Universidad Politécnica de Madrid Spain

ISBN: (纸本)9789898425010

This article presents our current work on studying energy efficient locomotion on crawling snake-like robots. The aim of this work is to use existing biological inspired methods to demonstrate lateral undulation planar gaits for efficiently controlling high-speed motion as a function of the terrain surface. A multilink non-wheeled snake-like robot is being developed for experimentation and analysis of efficient serpentine locomotion based on simulation results.

关键词： Serpentine

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An object-based change detection approach by integrating intensity and texture differences

An object-based change detection approach by integrating int...

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international asia conference on informatics in control, automation and robotics, CAR

作者： Lingcao Huang Guo Zhang Yang Li School of Remote Sensing Information Engineering Wuhan University of China Wuhan China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University of China Wuhan China Chinese Academy of Surveying and Mapping Beijing China

ISBN: (纸本)9781424451920;9781424451937;9781424451944

With the development of remote sensing technology, using remote sensing images to do change detection is becoming a hotspot. This paper introduces the research status of pixel-based and object-based change detection technology as well as comments on several change detection methods. A technique for pixel-based change detection by integrating the intensity and texture differences between two frames is studied. An object-based change detection method based on this technique is proposed. Experimental results show that the integrated measure is robust with respect to the illumination changes and noise, the performance of which is outstanding especially when applied to object-based change detection because of pixels' consistency in an object and sharp contrast between objects.

关键词： Remote sensing Pixel Object detection Image analysis Earth Humans Algorithm design and analysis robotics and automation Change detection algorithms Detection algorithms

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Particle swarm optimization used for the mobile robot trajectory tracking control

Particle swarm optimization used for the mobile robot trajec...

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作者： Serbencu, Adrian Emanoil Serbencu, Adriana Cernega, Daniela Cristina Control Systems and Industrial Informatics Department Computer Science Faculty Dunarea de Jos University from Galati 80021 Str. Domneasca 111 Galati Romania

ISBN: (纸本)9789898425010

The wheeled mobile robot is a nonlinear system. The trajectory tracking problem is solved using the sliding mode control. In this paper an optimization technique is investigated in order to obtain the best values for the sliding mode control law parameters. The performances of the control law with the optimum parameters are analyzed in order to establish some rules. The conclusions are based on the simulation results.

关键词： Sliding mode control

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