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Adaptive discrimination generation model and sequential Fisher discriminant analysis, as well as applications for visual tracking
Adaptive discrimination generation model and sequential Fisher discriminant analysis, as well as applications for visual tracking
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机译:自适应判别生成模型和顺序Fisher判别分析,以及视觉跟踪的应用
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摘要
Visual tracking over a sequence of images is formulated by defining an object class and one or more background classes. The most discriminant features available in the images are then used to select a portion of each image as belonging to the object class. Fisher's linear discriminant method is used to project high-dimensional image data onto a lower-dimensional space, e.g., a line, and perform classification in the lower-dimensional space. The projection function is incrementally updated.
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