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Local feature-based multi-object recognition scheme for surveillance
Authors:Daehoon Kim  Seungmin Rho  Eenjun Hwang
Affiliation:1. Department of Electronics and Computer Engineering, Korea University, Anam-Dong, Sungbuk-Gu, Seoul 136-701, South Korea;1. School of Engineering, Plaza Manuel Meca 1, 13400, Almadén, Ciudad Real, Oreto Research Group, University of Castilla-la Mancha, Spain;2. School of Computer Science, Paseo de la Universidad 4, 13071, Ciudad Real, Oreto Research Group, University of Castilla-la Mancha, Spain;1. Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O.B. 6, Bet Dagan, 50250, Israel;2. Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, P.O.B. 6, Bet Dagan, 50250, Israel;1. Oak Ridge National Laboratory, Oak Ridge, TN;2. University of Tennessee, Knoxville, TN;3. Appalachian State University, Boone, NC
Abstract:
Keywords:
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