Design and deliver intelligent online-to-offline solution for real estate retail, office and residential divisions.

The Photogrammetry and Image Analysis department of the DLR has developed a system for monitoring the road traffic from aerial images in real-time (the project VABENE: vabene.dlr.de) and a system for monitoring ships from optical satellite images in near real-time (the project OpsServe). In both systems a crucial part is a reliable and fast visual object detector. In the next phases of the projects the existing detector needs to be extended for multiple object classes.The proposed master thesis focuses on developing a visual object detector which detects multiple object types (e.g. vehicles, ships) on aerial and satellite images.

The system (Android smart phone as client) for mobile image retrieval and indoor navigation was built during this period. Low-level features are extracted from images and queried against our database to estimate current location. Accuracy can be improved by exploiting features between RGB and 3D depth images.