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
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;
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
DOI :
10.1109/DCABES.2012.80
