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- W2371305589 abstract "Due to factors such as illumination change and background complexity,the performance of the object matching method,which is based on color-histogram or the other features,varies in different scenarios. With respect to the current situation,three kinds of classical features are selected to apply in object matching in multi-camera,and they are color-histogram,SIFT and SURF. Then,the application results are analyzed by comparing the recognition rates of each method applied in different video datasets. Experimental results show that it can distinguish the most suitable scenario for each feature matching method by a series of performance comparison,and it will provide a reference with feature selection for the subsequent researches in this field." @default.
- W2371305589 created "2016-06-24" @default.
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- W2371305589 date "2013-01-01" @default.
- W2371305589 modified "2023-09-24" @default.
- W2371305589 title "Comparison of Object Matching Method in Multi-camera Scenario" @default.
- W2371305589 hasPublicationYear "2013" @default.
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