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- W3022193933 abstract "Crowd analysis has found its significance in varied applications from security purposes to commercial use. This proposed algorithm aims at contour extraction from skeleton of the foreground image for identifying and counting people and for providing crowd alert in the given scene. The proposed algorithm is also compared with other conventional algorithms like HoG with SVM classifier, Haar cascade and Morphological Operator. Experimental results show that the proposed method aids better crowd analysis than the other three algorithms on varied datasets with varied illumination and varied concentration of people." @default.
- W3022193933 created "2020-05-13" @default.
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- W3022193933 date "2019-01-01" @default.
- W3022193933 modified "2023-09-27" @default.
- W3022193933 title "Design of an image skeletonization based algorithm for overcrowd detection in smart building" @default.
- W3022193933 hasPublicationYear "2019" @default.
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