中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Exploiting Lightweight Statistical Learning for Event-Based Vision Processing

文献类型:期刊论文

作者Shi, Cong1; Li, Jiajun2; Wang, Ying2; Luo, Gang1
刊名IEEE ACCESS
出版日期2018
卷号6页码:19396-19406
关键词Address-event representation (AER) dynamic vision sensor (DVS) random ferns statistical learning neuromorphic processing
ISSN号2169-3536
DOI10.1109/ACCESS.2018.2823260
英文摘要This paper presents a lightweight statistical learning framework potentially suitable for low-cost event-based vision systems, where visual information is captured by a dynamic vision sensor (DVS) and represented as an asynchronous stream of pixel addresses (events) indicating a relative intensity change on those locations. A simple random ferns classifier based on randomly selected patch-based binary features is employed to categorize pixel event flows. Our experimental results demonstrate that compared to existing event-based processing algorithms, such as spiking convolutional neural networks (SCNNs) and the state-of-the-art bag-of-events (BoE)-based statistical algorithms, our framework excels in high processing speed (2x faster than the BoE statistical methods and >100x faster than previous SCNNs in training speed) with extremely simple online learning process, and achieves state-of-the-art classification accuracy on four popular address-event representation data sets: MNIST-DVS, Poker-DVS, Posture-DVS, and CIFAR10-DVS. Hardware estimation shows that our algorithm will be preferable for low-cost embedded system implementations.
资助项目NIH[R01 AG041794]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000430998000001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/5350]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, Ying
作者单位1.Harvard Med Sch, Schepens Eye Res Inst, Massachusetts Eye & Ear, Dept Ophthalmol, Boston, MA 02114 USA
2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100864, Peoples R China
推荐引用方式
GB/T 7714
Shi, Cong,Li, Jiajun,Wang, Ying,et al. Exploiting Lightweight Statistical Learning for Event-Based Vision Processing[J]. IEEE ACCESS,2018,6:19396-19406.
APA Shi, Cong,Li, Jiajun,Wang, Ying,&Luo, Gang.(2018).Exploiting Lightweight Statistical Learning for Event-Based Vision Processing.IEEE ACCESS,6,19396-19406.
MLA Shi, Cong,et al."Exploiting Lightweight Statistical Learning for Event-Based Vision Processing".IEEE ACCESS 6(2018):19396-19406.

入库方式: OAI收割

来源:计算技术研究所

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