摘要
针对视觉跟踪中运动目标的大小也随之改变这一问题,提出一种基于变分辨率的自适应窗口目标跟踪方法。在最大后验概率视觉跟踪算法基础上,分析了运动目标窗口内外框上的后验概率贡献指标,建立了自适应窗口调整目标尺度的数学模型。当运动目标尺寸变化时,其分辨率也相应变化,为了保证跟踪的实时性和效率,采用变分辨率的特征统计采样方法。在对运动目标实现自适应窗口的跟踪时,特征统计的分辨率也随之改变,对尺寸越大的运动目标尺度赋予更低的分辨率,从而实现基于变分辨率的自适应窗口目标跟踪。
This paper presents an adaptive window object tracking method based on variable resolution. It copes with size changing object during visual tracking. For the visual tracking algorithm based on maximum posterior probability, we analyze the posterior probability contribution on the inside and outside panes of the object window, and build a mathematical model for adjusting object size with an adaptive window. Since the resolution changes according to the size of the object, this thesis uses a statistical sampling method of the feature by variable resolution. The resolution of the statistical feature is correspondingly changed in object tracking with an adaptive window. The resolution of a larger object is decreased, which realizes an object tracking method with adaptive window based on variable resolution.
出处
《应用光学》
CAS
CSCD
北大核心
2009年第2期177-182,共6页
Journal of Applied Optics
关键词
视觉跟踪
自适应窗口
变分辨率
最大后验概率
vision tracking
adaptive window
variable resolution
maximum posterior probability
