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The construction of statistical shape model (SSM) is an important research topic in medical imaging benefited from its robust and nature represent of anatomical structures. Place-march of corresponding landmarks is one of the major factors influencing 3D SSM quality. In this paper, we present a supervised correspondence method for fast building SSM, which includes two main steps, i.e., surface data...
Detecting infrared pedestrian in outdoor smart video surveillance is always a challenging and difficult problem. Although there have been many methods based on histograms of oriented gradients (HOG) to solve this problem, they would probably fail because of shelter and poor quality of image. To overcome this problem, we propose a robust feature to describe pedestrian which is called entropy-edge weighted...
Traffic flow detection is an important topic in intelligent transportation systems (ITS). At present, most of the traffic flow detection method for nighttime are based on the headlights. However, headlights are not available in bad weather while the vehicle taillights have more stable features such as colors. so that in this paper, a novel method based on vehicle rear lamp and virtual coil is presented...
The number of elderly people living alone have increased over the last years and fall is one of major risks that threaten their lives. Computer vision is one of the accurate solution for fall detection. In this paper, we propose a new method for fall detection using depth camera. This method combines human shape analysis, head tracking and center of mass detection by exploiting the advantages of Kinect...
A novel technique of segmenting people for counting using adaptive thresholding has been proposed in this paper. The technique uses adaptive thresholding to detect and extract objects of interest and is based on the idea of counting people through a slit window. The technique works well for highly occluded crowded scenes in Masjid-e-Haram during Hajj and Umrah congregation. It is a very diverse problem...
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