Human Detection and Classification of Landing Sites for Search and Rescue Drones
Felipe N. Martins, Marc de Groot, Xeryus Stokkel, Marco Wiering · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2016
Search and rescue is often time and labour intensive. We present a system to be used in drones to make search and rescue operations more effective. The system uses a drone downward facing camera to detect people and to evaluate potential sites as being safe or not for the drone to land. Histogram of Oriented Gradients (HOG) features are extracted and a Support Vector Machine (SVM) is used as classifier. Our results show good performance on classifying frames as containing people (Sensitivity > 78%, Specificity > 83%), and distinguishing between safe and dangerous landing sites (Sensitivity > 87%, Specificity > 98%).