DocumentCode :
1891420
Title :
360° Detection and tracking algorithm of both pedestrian and vehicle using fisheye images
Author :
Bertozzi, Massimo ; Castangia, Luca ; Cattani, Stefano ; Prioletti, Antonio ; Versari, Pietro
Author_Institution :
Dept. of Inf. Eng., Univ. degli Studi di Parma, Parma, Italy
fYear :
2015
fDate :
June 28 2015-July 1 2015
Firstpage :
132
Lastpage :
137
Abstract :
All-around view is a mandatory element for autonomous vehicles. The European V-Charge project seeks to develop an autonomous vehicle using only low-cost sensors. This paper presents a detection and tracking algorithm that covers all the area around the vehicle using 4 fisheye cameras only. The algorithm is able to detect pedestrians and vehicles and track them, using cylindrical images. This paper presents the whole pipeline, from the image un-warping to the classification and the tracking algorithms, together with some results.
Keywords :
image classification; object detection; object tracking; road vehicles; traffic engineering computing; European V-Charge project; autonomous vehicles; classification algorithm; cylindrical images; detection algorithm; fisheye cameras; fisheye images; image unwarping; low-cost sensors; pedestrian detection; tracking algorithm; vehicle detection; Cameras; Computational modeling; Distortion; Mathematical model; Sensors; Tracking; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2015 IEEE
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/IVS.2015.7225675
Filename :
7225675
Link To Document :
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