Search

The Erhai Lake basin is located in the Yunnan-Guizhou Plateau, with high altitude and fragile ecological environment. Frequent man-made activities have aggravated soil erosion in the Erhai Lake basin. To solve this problem, based on Universal Soil Loss Equation (USLE), the paper uses Visual Studio 2010 software, combines the ArcGIS Engine component library with the. NET platform and uses C# as programming language to complete the development of soil erosion assessment system in Erhai Lake basin. The system includes four modules: document management, factor calculation, erosion analysis and thematic maps. The operation results show that the system not only meets the needs of users for soil erosion assessment in Erhai Lake basin, but also improves work efficiency and simplifies the evaluation procedures for soil erosion. It is of great significance to protect the ecological environment, promote the rational use of resources in Erhai region and the sustainable development of the economy.

The work of targeted poverty reduction in China has problems of inaccurate identification, low efficiency and unscientific management at present. To solve these problems, this paper combines GIS technology and poverty alleviation to develop the targeted poverty reduction geographic information system, using the ArcGIS Engine and the .NET framework as a platform, adopting Geodatabase to manage data and C# language, and combining ArcGIS Engine provided interface and method for program design. Targeted poverty reduction geographic information system includes data management, data browsing, data query, thematic maps, spatial analysis and other functional modules. By digging out the spatial characteristics of poverty-reducing data, we can visualize, manage and analyze poor population data, forecast poverty trends and improve the quality and efficiency of targeted poverty reduction.

This paper proposes a new token structure for efficient handling of identity access management for online composite software services. With the requirement of “Single Sign-On (SSO)” for atomic services in a given composite service, this token structure binds service attributes, including workflow, providers, users, operator permission, and operation environment, together in its creation process. The token can be viewed as a deciphered string produced by IDP (identity provider) and consumed by SP (service provider). The concept of conference key distribution is also used to distribute the token and to secure the transportation procedure. Furthermore, the Security Assertion Markup Language (SAML) is adopted to support the exchange of authentication and authorization information between SPs and IDPs. Finally, we apply our service token concept to SourceID Liberty 2.0 (an open source implementation for Liberty Alliance Project) as an illustration of its feasibility and practicability.

Video surveillance has become more and more prevalent. It is a basic problem to get the number of access people in scenes. When occlusions occur, it becomes difficult to count people. We propose a fast and robust people counting method, and implement a system. In our system, we use group tracking to compensate weakness of multiple human segmentation, which can handle complete occlusion. Our system can run in real-time about 30fps for CIF video, with counting accuracy defined by frame above 95%.

Background subtraction is a typical method to segment foreground from background in motion analysis. Most of background subtraction methods base on static back-grounds. We propose a particle filter based method to estimate dynamic backgrounds, such as water waves, foliage, smoke, etc. We consider the dynamic scenes vary under some rules and use particle filter to track background. Experiments show our results are promising, compared with other background subtraction methods.

With the rapid development of hardware equipments, it is now economically and technically feasible to build a video surveillance system. This paper presents the system architecture of VISS, a Video Intelligent Surveillance System deployed in parking lots. In VISS we adopt robust moving object detecting and tracking algorithm, and we present a novel activity recognition framework based on Layer Hidden Semi-Markov Model (LHSMM) which is used for modeling activities. The experimental results on real-time video show that the system is effective and robust in complex activity recognition.