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- W2515675097 abstract "This paper proposes a real-time approach to count the people in crowded scenes using holistic properties of the video, without using individual detection or tracking. A group of efficient holistic features are firstly extracted from the crowd segmentations. Furthermore, a nonlinear function mapping the feature vector into the number of people is learned with gradient boosted trees. Experiments demonstrate that our method can perform more accurate people counting." @default.
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- W2515675097 date "2016-05-01" @default.
- W2515675097 modified "2023-10-01" @default.
- W2515675097 title "Counting people using gradient boosted trees" @default.
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- W2515675097 doi "https://doi.org/10.1109/itnec.2016.7560388" @default.
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