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·314· 智能系统学报 第14卷 作主要针对两点:1)应用本文算法在多个基准行 improved detection[J].Advances in neural information 人数据集(如Caltech行人数据集等)上进行实验, processing systems,2014,1:424-432 针对每个数据集的测试结果进行统计分析,优化 [13]ZHANG Shanshan,BENENSON R,SCHIELE B. 本文算法的检测性能:2)继续扩充行人数据集的 Filtered channel features for pedestrian detection[C]//Pro- 数量跟多样性能够进一步的提升算法的检测性能。 ceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition.Boston,USA,2015:1751-1760. 参考文献: [14]KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Im. agenet classification with deep convolutional neural net- [1]宋婉茹,赵晴晴,陈昌红,等.行人重识别研究综述).智 works[J].Advances in neural information processing sys- 能系统学报,2017,12(6:770-780 tems,2012,25(2):1097-1105 SONG Wanru,ZHAO Qingqing,CHEN Changhong,et al. Survey on pedestrian re-identification research[J].CAAI [15]SIMONYAN K,ZISSERMAN A.Very deep convolu- transactions on intelligent systems,2017,12(6):770-780. tional networks for large-scale image recognition[J].arX- iv:1409.1556.2014 [2]YE Qixiang,LIANG Jixiang,JIAO Jianbin.Pedestrian de- [16]GIRSHICK R,DONAHUE J,DARRELL T,et al.Rich tection in video images via error correcting output code feature hierarchies for accurate object detection and se- classification of manifold subclasses[J].IEEE transactions mantic segmentation[C]//Proceedings of 2014 IEEE Con- on intelligent transportation systems,2012,13(1): 193-202. ference on Computer Vision and Pattern Recognition. [3]LIU Wei,ANGUELOV D,ERHAN D,et al.SSD:single Columbus,USA,2014:580-587. shot multibox detector[C]//Proceedings of 2016 European [17]REN Shaoging,HE Kaiming,GIRSHICK R,et al.Faster Conference on Computer Vision.Cham,Germany,2016: R-CNN:towards real-time object detection with region 21-37. proposal networks[J].IEEE transactions on pattern ana- [4]DALAL N.TRIGGS B.Histograms of oriented gradients lysis and machine intelligence,2017,39(6):1137-1149. for human detection[Cl//IEEE Computer Society Confer- [18]REDMON J,DIVVALA S,GIRSHICK R,et al.You only ence on Computer Vision and Pattern Recognition.San look once:unified,real-time object detection[C]//Pro- Diego,USA,2005:886-893 ceedings of 2016 IEEE Conference on Computer Vision [5]苏松志,李绍滋,陈淑媛,等.行人检测技术综述)电子 and Pattern Recognition.Las Vegas,USA,2016: 学报,2012,40(4):814-820 779-788. 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Journal of Chongqing university of posts and telecommunications (natural science edition), 2017, 29(3): 389–395. [22] [23] TIAN Yonglong, LUO Ping, WANG Xiaogang, et al. ·314· 智 能 系 统 学 报 第 14 卷
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