A statistical multimodal background model was described for moving object detection in video surveillance. The solution to some of the problems such as illumination changes, initialization of model with moving objects...A statistical multimodal background model was described for moving object detection in video surveillance. The solution to some of the problems such as illumination changes, initialization of model with moving objects, and shadows suppression was provided. The background samples were chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation was used to estimate the probability density function of background intensity. Pixel's neighbor information was considered to remove noise due to camera jitter and small motion in the scene. The hue-max-min-diff color information was used to detect and suppress moving cast shadows. The effectiveness of the proposed method in the foreground segmentation was demonstrated in the traffic surveillance application.展开更多
Shadow is one of the major problems in remotely sensed imagery which hampers the accuracy of information extraction and change detection.In these images,shadow is generally produced by different objects,namely,cloud,m...Shadow is one of the major problems in remotely sensed imagery which hampers the accuracy of information extraction and change detection.In these images,shadow is generally produced by different objects,namely,cloud,mountain and urban materials.The shadow correction process consists of two steps:detection and de-shadowing.This paper reviews a range of techniques for both steps,focusing on urban regions(urban shadows),mountainous areas(topographic shadow),cloud shadows and composite shadows.Several issues including the problems and the advantages of those algorithms are discussed.In recent years,thresholding and recovery techniques have become important for shadow detection and de-shadowing,respectively.Research on shadow correction is still an important topic,particularly for urban regions(in high spatial resolution data) and mountainous forest(in high and medium spatial resolution data).Moreover,new algorithms are needed for shadow correction,especially given the advent of new satellite images.展开更多
Avala Hotel in Budva, Montenegro, has undergone three reconstructions. Each of them led to significant spatial changes. The first hotel established the foundation of urbanization process in Budva, the building was too...Avala Hotel in Budva, Montenegro, has undergone three reconstructions. Each of them led to significant spatial changes. The first hotel established the foundation of urbanization process in Budva, the building was too high compared to the old town walls in the surrounding and thus not well integrated. The second reconstruction was the only successful achievement. At this time, in the first detailed urban plan including hotel and its surrounding area, the conclusion was that it represents ＂high-quality, seaside-favorable ambience＂ that should not be harmed by further building expansion. The last, illegal reconstruction in 2006 resulted in over enlarged new building disrespectful of the surrounding and the previous design. Similarly, the 2008 new detailed urban plan was the creation of ＂investors＇ urban planning＂. Entirely driven by profit, it arranges building reconstructions with multiple enlargements. This study tends to point out contextual impacts of the three hotels on the surrounding area, with special focus on the last reconstruction and ＂investors＇ urban planning＂ phenomena. The applied research method is comparative, chronological analysis of the three hotels. The aim of this research paper is to inspire initiatives that will help overcoming declining and harmful synergy of architecture and new socio-economic phenomena. It is the only way leading to the significant architectural goal： creating refined, harmonized and high quality ambience.展开更多
文摘A statistical multimodal background model was described for moving object detection in video surveillance. The solution to some of the problems such as illumination changes, initialization of model with moving objects, and shadows suppression was provided. The background samples were chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation was used to estimate the probability density function of background intensity. Pixel's neighbor information was considered to remove noise due to camera jitter and small motion in the scene. The hue-max-min-diff color information was used to detect and suppress moving cast shadows. The effectiveness of the proposed method in the foreground segmentation was demonstrated in the traffic surveillance application.
基金Under the auspices of National Technology Research and Development Program of China(No.2006BAJ05A02)National Natural Science Foundation of China(No.31172023)
文摘Shadow is one of the major problems in remotely sensed imagery which hampers the accuracy of information extraction and change detection.In these images,shadow is generally produced by different objects,namely,cloud,mountain and urban materials.The shadow correction process consists of two steps:detection and de-shadowing.This paper reviews a range of techniques for both steps,focusing on urban regions(urban shadows),mountainous areas(topographic shadow),cloud shadows and composite shadows.Several issues including the problems and the advantages of those algorithms are discussed.In recent years,thresholding and recovery techniques have become important for shadow detection and de-shadowing,respectively.Research on shadow correction is still an important topic,particularly for urban regions(in high spatial resolution data) and mountainous forest(in high and medium spatial resolution data).Moreover,new algorithms are needed for shadow correction,especially given the advent of new satellite images.
文摘Avala Hotel in Budva, Montenegro, has undergone three reconstructions. Each of them led to significant spatial changes. The first hotel established the foundation of urbanization process in Budva, the building was too high compared to the old town walls in the surrounding and thus not well integrated. The second reconstruction was the only successful achievement. At this time, in the first detailed urban plan including hotel and its surrounding area, the conclusion was that it represents ＂high-quality, seaside-favorable ambience＂ that should not be harmed by further building expansion. The last, illegal reconstruction in 2006 resulted in over enlarged new building disrespectful of the surrounding and the previous design. Similarly, the 2008 new detailed urban plan was the creation of ＂investors＇ urban planning＂. Entirely driven by profit, it arranges building reconstructions with multiple enlargements. This study tends to point out contextual impacts of the three hotels on the surrounding area, with special focus on the last reconstruction and ＂investors＇ urban planning＂ phenomena. The applied research method is comparative, chronological analysis of the three hotels. The aim of this research paper is to inspire initiatives that will help overcoming declining and harmful synergy of architecture and new socio-economic phenomena. It is the only way leading to the significant architectural goal： creating refined, harmonized and high quality ambience.
