计算机工程与应用2017，Vol.53Issue(14)：167-171,5.DOI:10.3778/j.issn.1002-8331.1512-0378
改进积分通道特征的快速多尺度行人检测
Improved integral channel features for fast multiscale pedestrian detec-tion
摘要
Abstract
In order to overcome the problem that integral channel features have redundant information and slow detection speed in multiscale pedestrian detection, an improved integral channel features for fast multiscale pedestrian detection is proposed. Firstly, fast feature pyramids are used to compute multiscale channel features, which avoid computing the same features at multiple locations and scales. Then the detection windows are divided into cells and blocks to make the overall description of the image and reduce the redundancy, replacing the original method of random location and size. Finally, it obtains the sums of pixels in cells and blocks as the pedestrian features and then the features are classified by soft cascade Adaboost. Simulation experiment results show that the proposed method gives improved accuracy and 15.4 times speedup compared with the original algorithm and runs at 18.5 f/s on 640×480 images.关键词
行人检测/积分通道特征/多尺度/快速特征金字塔Key words
pedestrian detection/integral channel features/multi-scale/fast feature pyramids分类
信息技术与安全科学引用本文复制引用
黄鹏,于凤芹,陈莹..改进积分通道特征的快速多尺度行人检测[J].计算机工程与应用,2017,53(14):167-171,5.基金项目
国家自然科学基金(No.61104213). （No.61104213）
