完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLin, Yen-Liang
dc.contributor.authorLee, Ping-Han
dc.contributor.authorHung, Yi-Ping
dc.date.accessioned2011-04-01T00:15:04Z
dc.date.accessioned2020-05-18T03:22:50Z-
dc.date.available2011-04-01T00:15:04Z
dc.date.available2020-05-18T03:22:50Z-
dc.date.issued2011-04-01T00:15:04Z
dc.date.submitted2009-11-28
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/30283-
dc.description.abstractMost existing pedestrian and vehicle detection algorithms use 2D features of objects, such as pixel values, color and texture, shape information or motion. The use of 3D features in object detection, on the other hand, are not well studied. In this paper, we propose a two-stage algorithm that uses both 2D and 3D features to detect pedestrian and vehicle in videos. The first stage compares the 2D contours between moving foreground and a set of object-specific shape kernels, to find the object candidates. A shape kernel is the contour of the object viewed from a certain panning and tilting angles, as well as a bounding cube that enclose this object. We have prepared 1584 and 1188 shape kernels for pedestrian and vehicle, respectively, and a speedup scheme is proposed to reduce the number of contour matching needed. The second stage further verifies the object candidates based on their 3D sizes, its width, height and length. Given shape kernels, the 3D sizes of the objects in a static scene monitored by a camera can be obtained using the intrinsic and extrinsic parameters of that camera. We employ a calibration-free method to estimate the camera parameters. The proposed algorithm can also handle partially occluded objects. Our experimental studies demonstrate that the proposed method can detect objects accurately and efficiently. It achieves a precision of 90%(90%) in detecting pedestrians(vehicles) at 15 frame-per-second.
dc.description.sponsorshipNational Taipei University,Taipei
dc.format.extent8p.
dc.relation.ispartofseriesNCS 2009
dc.subjectvehicle detection
dc.subjectpedestrian detection
dc.subject.otherWorkshop on Image Processing, Computer Graphics, and Multimedia Technologies
dc.titleFast Vehicle and Pedestrian Detection Using 2D Shapes and 3D Sizes
分類:2009年 NCS 全國計算機會議

文件中的檔案:
檔案 描述 大小格式 
ICM 7-5.pdf2.04 MBAdobe PDF檢視/開啟


在 DSpace 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。