DocumentCode
2581153
Title
An In-vehicle System for Pedestrian Detection
Author
Gang Liu ; Yufen Sun
Author_Institution
Intell. Transp. Syst. Res. Center, Wuhan Univ. of Technol., Wuhan, China
fYear
2012
fDate
19-22 Oct. 2012
Firstpage
328
Lastpage
331
Abstract
Pedestrian detection is a significant task in driver assistance systems. This paper presents an in-vehicle system for pedestrian detection. To speed up computation, we parallel implemented the state of the art detection algorithm on a NVIDIA GPU. The experiments demonstrate that our implementation can achieve accurate and real time detection.
Keywords
driver information systems; graphics processing units; object detection; pedestrians; real-time systems; NVIDIA GPU; art detection algorithm; driver assistance systems; in-vehicle system; pedestrian detection; real time detection; Algorithm design and analysis; Computed tomography; Graphics processing units; Histograms; Humans; Instruction sets; Parallel processing; CENTRIST descriptor; GPU; in-vehicle; parallel processing; pedestrian detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location
Guilin
Print_ISBN
978-1-4673-2630-8
Type
conf
DOI
10.1109/DCABES.2012.80
Filename
6385300
Link To Document