Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5427
Title: A Direct approach for human detection with catadioptric omnidirectional cameras
Authors: Çınaroğlu, İbrahim
Baştanlar, Yalın
Keywords: Video cameras
Human detection
Object detection
Omnidirectional cameras
Pedestrian detection
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Çınaroğlu, İ., and Baştanlar, Y. (2014, April 23-25). A Direct approach for human detection with catadioptric omnidirectional cameras. Paper presented at the 22nd Signal Processing and Communications Applications Conference. doi:10.1109/SIU.2014.6830719
Abstract: This paper presents an omnidirectional vision based solution to detect human beings. We first go through the conventional sliding window approaches for human detection. Then, we describe how the feature extraction step of the conventional approaches should be modified for a theoretically correct and effective use in omnidirectional cameras. In this way we perform human detection directly on the omnidirectional images without converting them to panoramic or perspective image. Our experiments, both with synthetic and real images show that the proposed approach produces successful results. © 2014 IEEE.
Description: 22nd Signal Processing and Communications Applications Conference, SIU 2014; Trabzon; Turkey; 23 April 2014 through 25 April 2014
URI: http://doi.org/10.1109/SIU.2014.6830719
http://hdl.handle.net/11147/5427
ISBN: 9781479948741
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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