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This paper presented a video moving object segmentation and tracking system based on the active contour and the color classification models. First, the active contour model is applied to segment the target object in the initial frame. From the segmented object, the object and background regions are extracted. Then the object and the background regions are separately clustered according to color feature...
Road detection is a vital task for the development of autonomous vehicles. The knowledge of the free road surface ahead of the target vehicle can be used for autonomous driving, road departure warning, as well as to support advanced driver assistance systems like vehicle or pedestrian detection. Using vision to detect the road has several advantages in front of other sensors: richness of features,...
There is need to quantify the dental plaque in order to keep fit and prevent occurrence from vital diseases. Dental plaque quantification is very crucial to patients, dentists as well as researchers. This paper presented a method to automatically quantifying the dental plaque in digital tooth images using mean shift. The proposed approach was applied to a clinical database consisting of 30 objects...
Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely to hold patterns of interest. Selection of such regions increases processing efficiency. For the recognition of motion, however, such context-free methods are still very rare. Though there are numerous methods to find space-time...
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