RESUMEN
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.