电讯技术2017，Vol.57Issue(11)：1283-1288,6.DOI:10.3969/j.issn.1001-893x.2017.11.010
一种融合预测过采样的运动目标检测算法
Prediction Based Over-sampling for Moving Object Detection
摘要
Abstract
Prediction based over-sampling is proposed for moving object detection. First, 2D Fourier trans-form is used to select some historical foreground frames as references of over-sampling, where the selection rule is shape similarity. Then foreground pixels are tracked from reference frames to the current frame with optical flow method. Next, dense over-sampling is conducted to generate new samples which are then used for improved foreground modeling. Finally, the foreground model is used in conjunction with another back-ground model for graph cut based classification. Comparison between the presented method and state-of-the-arts shows that the generated samples are representative and the proposed algorithm is effective.关键词
运动目标检测/过采样/背景建模/前景建模Key words
moving object detection/over-sampling/background modeling/foreground modeling分类
信息技术与安全科学引用本文复制引用
曾婧,吴宏刚,张翔..一种融合预测过采样的运动目标检测算法[J].电讯技术,2017,57(11):1283-1288,6.基金项目
四川省省院省校合作项目(2017JZ007) （2017JZ007）
