基于轮廓的运动目标视觉分析的研究

目标运动的视觉分析在虚拟现实、视觉监控、感知接口中均有广泛的应用前景,文章介绍了运动目标视觉分析中基于轮廓的分析识别算法,即对每个序列而言,图象二值化后,用背景剪除法检测出人的运动轮廓,然后将这些时变的二维轮廓形状转化为对应的一维距离信号,并归一化处理,以便对有待分类的序列进行识别。

Silhouette -based Visual Analysis of Human Motion

Visual analysis of human motion is driven by a wide spectrum of promising applications in many areas such as virtual reality,smart surveillance,perceptual user interface.This paper proposes a motion-based algorithm by silhouette analysis.For each image sequence,an improved background subtraction algorithm and a simple correspondence procedure are first used to segment and track the moving silhouettes of a walking figure from the background.Then eigenspace transformation is applied to reduce the dimensionality of the input feature space for the supervised pattern classification in the lower-dimensional eigenspace for recognition.