Building Identification Using Ar. Drone

Quadcopters have grown immense popularity in the recent times in various fields of active research since they have huge potential in search and rescue operations, sports and autonomous tracking. One of them is to understand the terrain and identify its location in GPS denied environment. In this project we propose a novel Building detection method in the terrain of IIT Kanpur. Training data is collected by segmenting recorded aerial videos of buildings of IIT Kanpur using front camera of AR Drone. We first employed scale invariant feature extraction from the training images using SIFT algorithm. Then bag of Visual Words is applied for representing each image in the form of a visual word and these words are then clustered using K-means algorithm. Finally One vs. One Binary SVM Classification algorithm is used for learning the classifier. We finally show how proposed method give interesting performances.