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Motion Geometric Active Contours: Tracking Nonrigid Objects in Clutter Background
引用本文:岑峰,Qi Feihu. Motion Geometric Active Contours: Tracking Nonrigid Objects in Clutter Background[J]. 高技术通讯(英文版), 2003, 9(3): 19-23
作者姓名:岑峰  Qi Feihu
作者单位:Department of
基金项目:theNationalNaturalScienceFoundationofChina .
摘    要:MGAC (Motion Geometric Active Contours), a new variational framework of geometric active contours to track multiple nonrigid moving object‘s in the clutter background in image sequences is presented. This framework, incorporating with the motion edge information, consists of motion detection and tracking stages. At the motion detection stage, the motion edge map provides an approximate edge map of the moving objects. Then, a tracking stage, merely using thestatic edge information, is considered to improve the motion detection result. Force field regularization method is used to extend the capture range of the edge attraction force field in both stages.Experiments demonstrate that the proposed framework is valid for tracking multiple nonrigid objects in the clutter background.

关 键 词:计算机视觉 目标跟踪 非刚性物体 移动几何主动轮廓线 水平集理论 混乱背景

Motion Geometric Active Contours: Tracking Nonrigid Objects in Clutter Background
Qi Feihu. Motion Geometric Active Contours: Tracking Nonrigid Objects in Clutter Background[J]. High Technology Letters, 2003, 9(3): 19-23
Authors:Qi Feihu
Affiliation:Department of Computer Science & Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R.China;Department of Computer Science & Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R.China
Abstract:MGAC (Motion Geometric Active Contours), a new variational framework of geometric active contours to track multiple nonrigid moving objects in the clutter background in image sequences is presented. This framework, incorporating with the motion edge information, consists of motion detection and tracking stages. At the motion detection stage, the motion edge map provides an approximate edge map of the moving objects. Then, a tracking stage, merely using the static edge information, is considered to improve the motion detection result. Force field regularization method is used to extend the capture range of the edge attraction force field in both stages. Experiments demonstrate that the proposed framework is valid for tracking multiple nonrigid objects in the clutter background.
Keywords:object tracking   active contours   Level Set Theory   clutter background
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