Multiple Object Tracking on Smart Embedded Camera For Automated Conveying Systems
Adel Benamara, Mihaela Scuturici, Serge Miguet · 2017
In this paper we present an embedded smart cameras system that performs multiple objects tracking for the control of an automated conveying system. The smart cameras automatically extract scene description models of the conveying environment from underlying motion structure, as observed over time. In particular, the ROI mask and the conveyor's pathways model are used to improve the tracking performance during on-line inference. An efficient parallelization strategy of background subtraction is proposed. Our approach takes advantage of multi-core embedded platforms. We provide an evaluation of the proposed method on videos coming from an industrial application.