Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9955
Title: Car detection with omnidirectional cameras using haar-like features and cascaded boosting
Authors: Karaimer, Hakkı Can
Baştanlar, Yalın
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: This paper presents an approach to detects cars in omnidirectional images. We first go through the conventional method of using Haar-like features and cascaded boosting for conventional camera images. Then, to apply this method for omnidirectional cameras, we generate panoramic images from omnidirectional ones. In this way we perform car detection on a single image without generating numerous perspective images from the omnidirectional view. We also discuss two different ways of panoramic image generation and conclude that spherical profile panoramas are more convenient than cylindrical panoramas. We present our car detection experiments on real omnidirectional images.
Description: 22nd IEEE Signal Processing and Communications Applications Conference (SIU)
URI: https://hdl.handle.net/11147/9955
ISBN: 978-1-4799-4874-1
ISSN: 2165-0608
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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