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Content-based image retrieval often uses the integration of various features. The characteristic dimensions are up to hundreds of dimensions. The capabilities for image representation", "storage", " management far exceed that of the database. Retrieval and matching of large-scale image are the urgent problems which need to be solved. To solve the construction of image indexing...
We do research on the problem of moving object classification. Our aim is to classify moving objects of traffic scene videos into pedestrians, bicycles and vehicles. The self-organizing feature map (SOM) is an unsupervised learning algorithm, which is developed by simulating the signal processing of human brain, has the advantage of simple principle and self organization, and has been used in many...
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