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- W2355315432 abstract "A scheme of new human action recognition is presented and its algorithm is performed.The interest points in video sequence are extracted through Gaussian filtering in space of video sequence and Gabor filtering in time axis.The GLOH(gradient location orientation histogram) is adopted to describe the features of the threshold 20×20 region at each interest pointe.The described sequence may feature the video sequence.Comparing with other human action recognition algorithms,only by establishing a single support vector classifier can the algorithm realize the high recognition rate,that is,it need not label the given feature region and use the classification algorithm which wastes time.The algorithm is simple and efficient." @default.
- W2355315432 created "2016-06-24" @default.
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- W2355315432 date "2012-01-01" @default.
- W2355315432 modified "2023-09-25" @default.
- W2355315432 title "Human action recognition algorithm based on gradient feature description for interest points" @default.
- W2355315432 hasPublicationYear "2012" @default.
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