高技术通讯2012,Vol.22Issue(2):153-158,6.DOI:10.3772/j.issn.1002-0470.2012.02.007
综合表观和运动模式的视频轮椅检测方法
A novel wheelchair video detection method based on a combined appearance and motion pattern
摘要
Abstract
This paper proposes a novel method to detect wheelchairs in video using the combination of appearance and motion pattern. An appearance based detector is used to detect objects frame by frame, where a cascaded detector is designed using the Haar-like feature and the HOG (histograms of oriented gradients) feature. A motion based classifier is proposed further to distinguish appearance-similar wheelchairs and pedestrians, which usually impedes performance of appearance based detectors. The accuracy and the efficiency of the proposed method were validated by extensive experiments.关键词
轮椅检测/运动模式/级联检测/类Haar特征/梯度方向直方图(HOG)特征/光流Key words
wheelchair detection/ motion pattern/ cascade detection/ Haar-like feature/ histograms of oriented gradients (HOG) / optical flow引用本文复制引用
李同治,丁晓青,方驰..综合表观和运动模式的视频轮椅检测方法[J].高技术通讯,2012,22(2):153-158,6.基金项目
973计划(2007CB311004)资助项目. (2007CB311004)