Flexible sliding windows with adaptive pixel strides
Jiang, Xiaoheng1; Pang, Yanwei1; Pan, Jing2; Li, Xuelong3
刊名signal processing
2015-05-01
卷号110页码:37-45
关键词Object detection Sliding window Adaptive strides Sparse sampling
英文摘要detecting humans, faces, and other objects is important for pose estimation, behaviour analysis, and recognition. most of the existing detection methods exploit sliding-window technique that typically evaluates image patches at uniform grids, with constant pixel strides along horizontal and vertical directions in an image. this approach can lead to excessively redundant computation since target object instances are relatively rare events compared to non-objects of the background. therefore, most of the computation is unnecessarily wasted on the background. in this paper, to deal with this problem, we propose to scan the image using adaptive instead of fixed (unchanged) strides. that is, a high response of current sliding window generates small strides for the subsequent sliding windows in both horizontal and vertical directions, which means an object instance is likely to exist around. otherwise, a low response gives large pixel strides and results in sparse sampling on the background. as a result, the areas of potential object instances are densely sampled and the areas of non-objects are sparsely sampled, leading to the reduction of total computation cost without loss of detection accuracy. experimental results on face detection demonstrate the high efficiency and effectiveness of the proposed method. (c) 2014 elsevier b.v. all rights reserved.
WOS标题词science & technology ; technology
类目[WOS]engineering, electrical & electronic
研究领域[WOS]engineering
关键词[WOS]object detection ; face detection ; cascades ; graph
收录类别SCI ; EI
语种英语
WOS记录号WOS:000350183700005
公开日期2015-07-14
内容类型期刊论文
源URL[http://ir.opt.ac.cn/handle/181661/24087]  
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 300072, Peoples R China
2.Tianjin Univ Technol & Educ, Sch Elect Engn, Tianjin 300222, Peoples R China
3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Jiang, Xiaoheng,Pang, Yanwei,Pan, Jing,et al. Flexible sliding windows with adaptive pixel strides[J]. signal processing,2015,110:37-45.
APA Jiang, Xiaoheng,Pang, Yanwei,Pan, Jing,&Li, Xuelong.(2015).Flexible sliding windows with adaptive pixel strides.signal processing,110,37-45.
MLA Jiang, Xiaoheng,et al."Flexible sliding windows with adaptive pixel strides".signal processing 110(2015):37-45.
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