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- W2100603339 abstract "We describe a system that learns from examples to recognize persons in images taken indoors. Images of full-body persons are represented by color-based and shape-based features. Recognition is carried out through combinations of Support Vector Machine (SVM) classifiers. Different types of multi-class strategies based on SVMs are explored and compared to k-Nearest Neighbors classifiers. The experimental results show high recognition rates and indicate the strength of SVM-based classifiers to improve both generalization and run-time performance. The system works in real-time." @default.
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- W2100603339 date "2003-09-01" @default.
- W2100603339 modified "2023-09-25" @default.
- W2100603339 title "Full-body person recognition system" @default.
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- W2100603339 doi "https://doi.org/10.1016/s0031-3203(03)00061-x" @default.
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