Architecture for fast object detection supporting CPU-GPU hybrid and distributed computing
Yuseok Bae, Jongyoul Park · 2017
This paper describes architecture for fast object detection that integrates uniform local binary patterns (ULBP) with convolutional neural networks (CNN). The proposed architecture also supports CPU-GPU hybrid and distributed computing based on the Hadoop distributed computing platform considering large-scale image big data.