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Conference Paper
Architecture for Fast Object Detection Supporting CPU-GPU Hybrid and Distributed Computing
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- Authors
- Yuseok Bae, Jongyoul Park
- Issue Date
- 2017-01
- Citation
- International Conference on Consumer Electronics (ICCE) 2017, pp.149-150
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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.
- KSP Keywords
- Big Data, CPU-GPU, Computing platform, Convolution neural network(CNN), Large scale image, Local binary Pattern, Object detection, distributed computing