Sadeghi Tehran, Pouria and Angelov, Plamen (2016) ARTOD:Autonomous Real Time Objects Detection by a moving camera using recursive density estimation. In: Novel applications of intelligent systems. Studies in Computational Intelligence . Springer Verlag, Cham, pp. 123-138. ISBN 9783319141930
Full text not available from this repository.Abstract
A new approach to autonomously detect moving objects in a video captured by a moving camera is proposed in this chapter. The proposed method is separated in two modules.In the first part, the well-known scale invariant feature transformation (SIFT) and the RANSAC algorithm are used to estimate the camera movement. In the second part, recursive density estimation (RDE) is used to build a model of the background and detect moving objects in a scene. The results are presented for both indoor and outdoor video sequences taken from a UAV for outdoor scenario and handheld camera for indoor experiment.