Pedestrian detection and tracking with night vision
Pedestrian detection and tracking with night vision
复制标题
夜视行人检测和跟踪
DOI：
10.1109/ivs.2002.1187922
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
K. Fujimura
中科院分区：
文献类型：
--
作者：
Fengliang Xu;K. Fujimura
本文提出了一种利用安装在车辆上的夜视摄像机进行行人检测和跟踪的方法。针对道路上人体外观的非刚性特性，提出了一种两步检测/跟踪方法。检测阶段是由一个支持向量机（SVM）与大小归一化的行人候选人和跟踪阶段是卡尔曼滤波预测和均值漂移跟踪的组合。通过道路检测模块获得的信息进一步加强检测阶段，该道路检测模块为行人验证提供关键信息。对灰度SVM识别与二值SVM识别以及全身检测与上身检测进行了实验比较。
This paper presents a method for pedestrian detection and tracking using a night vision video camera installed on the vehicle. To deal with the nonrigid nature of human appearance on the road, a two-step detection/tracking method is proposed. The detection phase is performed by a support vector machine (SVM) with size-normalized pedestrian candidates and the tracking phase is a combination of Kalman filter prediction and mean shift tracking. The detection phase is further strengthened by information obtained by a road detection module that provides key information for pedestrian validation. Experimental comparisons have been carried out on gray-scale SVM recognition vs. binary SVM recognition and entire body detection vs. upper body detection.
影响因子：
19.5
作者：
Viola, P;Jones, MJ;Snow, D
通讯作者：
Snow, D