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Efficient Single-Stage Pedestrian Detector by Asymptotic Localization Fitting and Multi-Scale Context Encoding

文献类型：期刊论文

作者Liu, Wei1,2,4; Liao, Shengcai3; Hu, Weidong4
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2020
卷号29页码:1413-1425
关键词Pedestrian detection convolutional neural networks asymptotic localization fitting
ISSN号1057-7149
DOI10.1109/TIP.2019.2938877
通讯作者Liao, Shengcai(scliao@nlpr.ia.ac.cn)
英文摘要Though Faster R-CNN based two-stage detectors have witnessed significant boost in pedestrian detection accuracy, they are still slow for practical applications. One solution is to simplify this working flow as a single-stage detector. However, current single-stage detectors (e.g. SSD) have not presented competitive accuracy on common pedestrian detection benchmarks. Accordingly, a structurally simple but effective module called Asymptotic Localization Fitting (ALF) is proposed, which stacks a series of predictors to directly evolve the default anchor boxes of SSD step by step to improve detection results. Additionally, combining the advantages from residual learning and multi-scale context encoding, a bottleneck block is proposed to enhance the predictors' discriminative power. On top of the above designs, an efficient single-stage detection architecture is designed, resulting in an attractive pedestrian detector in both accuracy and speed. A comprehensive set of experiments on two of the largest pedestrian detection datasets (i.e. CityPersons and Caltech) demonstrate the superiority of the proposed method, comparing to the state of the arts on both the benchmarks.
资助项目Chinese National Natural Science Foundation[61672521]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000497431400002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Chinese National Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/29399]  
专题自动化研究所_模式识别国家重点实验室_视频内容安全团队
通讯作者Liao, Shengcai
作者单位1.Chinese Acad Sci, Ctr Biometr & Secur Res, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
3.Incept Inst Artificial Intelligence, Abu Dhabi, U Arab Emirates
4.Natl Univ Def Technol, Coll Elect Sci, Natl Key Lab Sci & Technol ATR, Changsha 410073, Hunan, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Wei,Liao, Shengcai,Hu, Weidong. Efficient Single-Stage Pedestrian Detector by Asymptotic Localization Fitting and Multi-Scale Context Encoding[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2020,29:1413-1425.
APA Liu, Wei,Liao, Shengcai,&Hu, Weidong.(2020).Efficient Single-Stage Pedestrian Detector by Asymptotic Localization Fitting and Multi-Scale Context Encoding.IEEE TRANSACTIONS ON IMAGE PROCESSING,29,1413-1425.
MLA Liu, Wei,et al."Efficient Single-Stage Pedestrian Detector by Asymptotic Localization Fitting and Multi-Scale Context Encoding".IEEE TRANSACTIONS ON IMAGE PROCESSING 29(2020):1413-1425.

入库方式： OAI收割

来源：自动化研究所

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