Parallel precise speed measurement for multiple moving objects

被引:1
|
作者
Zhao, Peng [1 ,2 ]
机构
[1] NE Forestry Univ, Informat & Comp Engn Inst, Harbin 150040, Peoples R China
[2] Beijing Inst Technol, Dept Comp Sci & Engn, Beijing 100081, Peoples R China
来源
OPTIK | 2011年 / 122卷 / 22期
关键词
Machine vision; Speed measurement; Geodesic active contour; Image matte; Interlaced scan; MOMENT INVARIANTS; RECOGNITION; IMAGE;
D O I
10.1016/j.ijleo.2010.12.022
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this paper, we propose a novel scheme for the parallel speed measurement of multiple moving objects with a translational motion. First, this scheme uses one interlaced scan CCD camera to obtain only one interlaced scan image of multiple moving objects. The odd and even field images are extracted and resized. Second, image matte is applied in these two field images to extract every moving object's silhouette simultaneously. Third, a geodesic active contour is applied in these two field alpha matte images to extract every moving object's contour edge simultaneously. Shape matching is performed by using a moment shape descriptor for every moving object's contour edge in two field alpha matte images. Finally, the distance between two centroids of the two matching silhouettes is then computed. Every object's speed is then calculated by using the above distance and the camera imaging parameters. The simulation and real experiments prove that our scheme can fulfill the speed measurement for multiple objects with the translational motion accurately and efficiently. (C) 2011 Elsevier GmbH. All rights reserved.
引用
收藏
页码:2011 / 2015
页数:5
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