计算机科学 ›› 2015, Vol. 42 ›› Issue (9): 278-281.doi: 10.11896/j.issn.1002-137X.2015.09.054
张焕龙,郑卫东,舒云星,蒋 斌
ZHANG Huan-long, ZHENG Wei-dong, SHU Yun-xing and JIANG Bin
摘要: 针对PCA在视频跟踪应用中需要将图像转换成向量而造成信息丢失和小样本等问题,提出一种基于2DPCA学习的自适应性视频跟踪方法。该方法将图像矩阵直接进行处理,保持了跟踪目标的空间结构信息。在粒子滤波框架下采用仿射变换运动模型,并通过协方差特征融合方式评估目标运动状态,提高了目标外观模型的学习能力,实现了鲁棒的自适应性跟踪效果。进行了标准的视频序列测试,结果证明提出的算法能够较好地适应目标姿态、光线和部分遮挡等跟踪问题。
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