摘要
提出了一种视频图像中运动目标跟踪的新方法。该文首先提出跟踪区域内基于像素的可信度与空间位置的权重函数,然后利用HSV色彩分布模型计算出目标模型与预测模型间的相似性,选出最优相似模型作为当前目标模型,从而实现了多目标的跟踪。实验显示,该算法计算简单,对相似目标能实现准确的跟踪,对非刚性目标的尺度变化、多目标的交叉及部分遮挡具有鲁棒性。
In this paper,a new algorithm of moving object tracking in video sequences is proposed.A HSV color distribution model is used to measure the similarity between target rectangles and hypothetical rectangles.In this process,a weighting function based on pixel confidence and pixel position is presented to weigh the pixel values in the rectangle area of the tracking.The experimental results show that the algorithm is computationally efficient and robust to scale invariant,partial occlusion and interactions of non-rigid objects,especially similar objects.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第10期56-58,共3页
Computer Engineering and Applications
基金
国家自然科学基金(编号:60175008)
国家创新研究群体项目(编号:60024301)
福建省自然科学基金资助项目
