Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry | |
Cao, Jiale1; Pang, Yanwei1; Li, Xuelong2 | |
2016 | |
会议名称 | 29th ieee conference on computer vision and pattern recognition workshops (cvprw) |
会议日期 | 2016-06-26 |
会议地点 | las vegas, nv |
页码 | 1316-1324 |
通讯作者 | pang, yw (reprint author), tianjin univ, sch elect informat engn, tianjin, peoples r china. |
英文摘要 | the discrimination and simplicity of features are very important for effective and efficient pedestrian detection. however, most state-of-the-art methods are unable to achieve good tradeoff between accuracy and efficiency. inspired by some simple inherent attributes of pedestrians (i.e., appearance constancy and shape symmetry), we propose two new types of non-neighboring features (nnf): side-inner difference features (sidf) and symmetrical similarity features (ssf). sidf can characterize the difference between the background and pedestrian and the difference between the pedestrian contour and its inner part. ssf can capture the symmetrical similarity of pedestrian shape. however, it's difficult for neighboring features to have such above characterization abilities. finally, we propose to combine both non-neighboring and neighboring features for pedestrian detection. it's found that nonneighboring features can further decrease the average miss rate by 4.44%. experimental results on inria and caltech pedestrian datasets demonstrate the effectiveness and efficiency of the proposed method. compared to the state-ofthe- art methods without using cnn, our method achieves the best detection performance on caltech, outperforming the second best method (i.e., checkerboards) by 1.63%. |
收录类别 | EI ; ISTP |
产权排序 | 2 |
会议录 | 2016 ieee conference on computer vision and pattern recognition (cpvr) |
会议录出版者 | ieee |
会议录出版地 | 345 e 47th st, new york, ny 10017 usa |
语种 | 英语 |
ISSN号 | 1063-6919 |
ISBN号 | 978-1-4673-8851-1 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28926] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Tianjin Univ, Sch Elect Informat Engn, Tianjin, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Jiale,Pang, Yanwei,Li, Xuelong. Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry[C]. 见:29th ieee conference on computer vision and pattern recognition workshops (cvprw). las vegas, nv. 2016-06-26. |
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