A Review on Efficient Road Detection and Aerial Object Localization for Unmanned Aerial Vehicle

Trilok Raj Singh Sisodiya, Vipra Bohara

An unmanned aerial vehicle (UAV) has many applications in a variety of fields. Detection and tracking of a specific road and vehicles in UAV videos play an important role in automatic UAV navigation, traffic monitoring, and ground–vehicle tracking, and also is very helpful for constructing road networks for modeling and simulation. The paper focuses on the various existing method of detection and tracking and their application for unmanned aerial vehicle navigation. A real-time object localization and tracking strategy from monocular image sequences is developed by effectively integrating the object detection and tracking into a dynamic Kalman model. Compared to existing methods, the proposed approach does not require any manual initialization for tracking, runs much faster than the state-of-the-art trackers of its kind, and achieves competitive tracking performance on a large number of image sequences. Extensive experiments demonstrate the effectiveness and superior performance of the proposed approach.