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一种基于运动信息的多目标跟踪方法研究
引用本文:谢文武,张昭旭.一种基于运动信息的多目标跟踪方法研究[J].现代计算机,2014(7):54-56.
作者姓名:谢文武  张昭旭
作者单位:四川大学计算机学院,成都610065
摘    要:为解决多目标跟踪中的遮挡问题,提出一种基于目标运动信息的方法。采用混合高斯模型结合背景差法获取初始运动信息,根据目标短时间内状态的稳定性,对其进行预测,再结合视觉特征达到精确跟踪。由于使用速度和视觉特征信息对目标单独跟踪,从而巧妙地避免遮挡的处理。实验结果表明,该方法实时有效,同时对遮挡问题的处理也有较好的效果。

关 键 词:多目标跟踪  遮挡  运动信息

Research on the Multi-object Tracking Method Based on Motion Information
XIE Wen-wu,ZHANG Zhao-xu.Research on the Multi-object Tracking Method Based on Motion Information[J].Modem Computer,2014(7):54-56.
Authors:XIE Wen-wu  ZHANG Zhao-xu
Affiliation:(School of Computer, Sichuan University, Chengdu 610065)
Abstract:To solve the occlusions in multi-object tracking, proposes a new method based on the motion information of objects. Combined Gaussian mixture models and background subtraction to obtain initial motion information; predicts objects according to their stable status in short time, then precisely tracked in combination with visual feature. Because of using velocity and visual feature information to track object separately, dealing with occlusions can be avoided subtly. The experiment results show that this method is efficient and can be imple- mented in real-time, and has a good effect in the treatment of occlusion.
Keywords:Multi-Object Tracking  Occlusion  Motion Information
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