Static Vehicle Detection and Analysis in Aerial Imagery using Depth

This report proposes an approach to automatically detect static vehicles in an outdoor parking space using depth. The relevant 3D information is generated from a Digital Surface Model (DSM), which is a result of a novel and existing technique to solve camera pose estimation and dense reconstruction simultaneously. Validation using local 2D features, based on existing methods, is then done to ensure better detection rates. Further, performance of the detection system is evaluated by changing the internal parameterization of 3D model generation and the dependence is analyzed.