Pedestrian detection with semantic regions of interest
文献类型:期刊论文
作者 | He M(何淼)![]() ![]() ![]() ![]() |
刊名 | SENSORS
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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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