Restoring, redesigning and reconnecting abandoned brown field sites to their community (GM-urban site in Muncie, IN)

Brownfield redevelopment has received a lot of attention in the past few years, and has become a popular topic in the landscape architecture realm. Increasing amounts of abandoned post-industrial sites do not presently perform any value or functionality in the city’s area. These vacant lands not only adversely impact people’s lives, but they also restrict local economic growth and neighborhood development. This project is trying to using landscape architectural planning and design principles to restore and reuse urban brownfield sites in ways that reconnect these sites to the community. Mixed-used planning method applied to this project that include open space, new residential area, urban farm, recreation area and green spaces. In this case, sustainable and mixed land use redevelopment can improve community quality so that to change the existing disadvantage situation of the whole community.Department of Landscape ArchitectureThesis (M.L.A.

3D Vehicle Extraction and Tracking from Multiple Viewpoints for Traffic Monitoring by using Probability Fusion Map

This paper presents a novel solution of vehicle occlusion and 3D measurement for traffic monitoring by data fusion from multiple stationary cameras. Comparing with single camera based conventional methods in traffic monitoring, our approach fuses video data from different viewpoints into a common probability fusion map (PFM) and extracts targets. The proposed PFM concept is efficient to handle and fuse data in order to estimate the probability of vehicle appearance, which is verified to be more reliable than single camera solution by real outdoor experiments. An AMF based shadowing modeling algorithm is also proposed in this paper in order to remove shadows on the road area and extract the proper vehicle regions