伤员搜寻任务中人体的视觉检测方法研究  

Vision-based human detection in wounded search task

作　　者：刘保真[1] 苏卫华[1] 陈卓[1] 安慰宁 秦晓丽[1] 

机构地区：[1]军事医学科学院卫生装备研究所,天津300161

出　　处：《医疗卫生装备》2017年第2期118-121,共4页Chinese Medical Equipment Journal

基　　金：原总后卫生部重点项目(BWS14C054);军队后勤科研计划重大项目(AWS16J001);天津科技支撑计划重点研发计划(16YFZCSF00590)

摘　　要：目的 :针对救援任务中的无人化搜寻问题,设计一种基于视觉的多方向人体检测方法。方法 :立足机器视觉领域,采用行人检测中应用最广泛的方向梯度直方图(histogram of oriented gradient,HOG)特征,通过多方向检测实现对具有不同旋转角度人体的响应。模拟救援任务中无人机和无人车视角,构建相应的搜寻现场人体数据集,用于方法的评价与验证。结果:该方法在无人机和无人车视角数据集中均取得一定的检测效果,验证了该方法在无人机和无人车上应用的可行性。结论:该方法对于人体目标在图像中的平面旋转和离面旋转都具有一定的鲁棒性,对于促进国内无人化搜救具有十分重要的意义。Objective To design a vision-based detection method for rotated human bodies to fulfill unmanned wounded search in the rescue operation. Methods HOG（histogram of oriented gradient） which was the most successful visual feature in pedestrian detection was involved in, and the human detection in the wounded search task was realized by multi-directional detection.Furthermore, two human bodies datasets were established by imitating the views of unmanned ground vehicle（UGV）and unmanned aerial vehicle（UAV）. Results The application to the two datasets proved the method＇s feasibility in UGV and UAV. Conclusion The method is robust to the in-plane rotations and out-plane rotations of human bodies, which is of vital significance to promote the efficiency of the wounded searching and rescuing.

关 键 词：伤员搜寻 战场救援 灾后救援 HOG特征 视觉目标检测 多方向检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]