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Title: Motion flow tracking in unconstrained videos for retail scenario
Authors: Pereira,EM
Jaime Cardoso
Ricardo Morla
Issue Date: 2013
Abstract: We present a complete and modular framework that extract trajectories in a real and complex retail scenario, under unconstrained video conditions. Two motion tracking algorithms that combine features from crowd motion detection and multiple tracking are presented to build motion patterns and understand customer's behavior. Their evaluation across several datasets show promising results. © 2013 Springer-Verlag.
metadata.dc.type: conferenceObject
Appears in Collections:CTM - Articles in International Conferences

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