中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Pedestrian detection with semantic regions of interest

文献类型:期刊论文

作者He M(何淼); Luo HB(罗海波); Chang Z(常铮); Hui B(惠斌)
刊名SENSORS
出版日期2017
卷号17期号:11页码:1-16
关键词Pedestrian Detection Deep Learning Background Vs. Foreground Errors Semantic Regions Of Interest
ISSN号1424-8220
产权排序1
英文摘要For many pedestrian detectors, background vs. foreground errors heavily influence the detection quality. Our main contribution is to design semantic regions of interest that extract the foreground target roughly to reduce the background vs. foreground errors of detectors. First, we generate a pedestrian heat map from the input image with a full convolutional neural network trained on the Caltech Pedestrian Dataset. Next, semantic regions of interest are extracted from the heat map by morphological image processing. Finally, the semantic regions of interest divide the whole image into foreground and background to assist the decision-making of detectors. We test our approach on the Caltech Pedestrian Detection Benchmark. With the help of our semantic regions of interest, the effects of the detectors have varying degrees of improvement. The best one exceeds the state-of-the-art.
WOS关键词CLASSIFICATION ; RECOGNITION
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000416790500261
源URL[http://ir.sia.cn/handle/173321/21250]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者He M(何淼)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
3.The Key Lab of Image Understanding and Computer Vision, Shenyang 110016, China
4.University of Chinese Academy of Sciences, Beijing, 110049, China
推荐引用方式
GB/T 7714
He M,Luo HB,Chang Z,et al. Pedestrian detection with semantic regions of interest[J]. SENSORS,2017,17(11):1-16.
APA He M,Luo HB,Chang Z,&Hui B.(2017).Pedestrian detection with semantic regions of interest.SENSORS,17(11),1-16.
MLA He M,et al."Pedestrian detection with semantic regions of interest".SENSORS 17.11(2017):1-16.

入库方式: OAI收割

来源:沈阳自动化研究所

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