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Video text contains abundant high-level semantic information, which is important to video analysis, indexing and retrieval. In this paper, fuzzy support vector machine (FSVM) is applied to distinguish background and text in a video sequence. Firstly, the video frame is divided into 8×8 blocks, and we extract the gray, edge and texture feature information as the training samples. Then FSVM is used...
Object tracking using vision technology is one of the important and complex functions in computer vision. It should become more challenge in case of there are partial occlusions and significant clutter. A mean shift procedure embedded approach for vehicle and pedestrian tracking under real road scenes is presents. A combined hue and saturation of HSI color model and local orientation information are...
This paper presents a spatiotemporal pyramid representation for recognizing facial expressions and hand gestures. This approach works by partitioning video sequence into increasingly fine subdivisions in the space and time domains and modeling the distribution of the local motion features inside each subdivision such that the set of motion features are mapped into spatial and temporal multi-resolution...
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