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ARTOD: Autonomous Real Time Objects Detection by a moving camera using recursive density estimation

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Publication date28/01/2016
Host publicationNovel applications of intelligent systems
EditorsMincho Hadjiski, Nikola Kasabov, Dimitar Filev, Vladimir Jotsov
Place of PublicationCham
PublisherSpringer Verlag
Pages123-138
Number of pages16
ISBN (electronic)9783319141947
ISBN (print)9783319141930
<mark>Original language</mark>English

Publication series

NameStudies in Computational Intelligence
PublisherSpringer
Volume586
ISSN (Print)1860-949X

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.