Fast Pedestrian Detection Based on GPU+CPU

Autor: Heng Li Liu, Yu Chi Wang, Si Yue Zhou, Zhengpeng Yuan
Rok vydání: 2013
Předmět:
Zdroj: Advanced Materials Research. :2291-2295
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.718-720.2291
Popis: Accurate pedestrian detection is required for practical applications such as automotive and security applications. However, the implementation does not have enough performance because the present schemes are not sufficient. In this paper, the authors proposed parallel implementation of HOG-based pedestrian detection on GPU to obtain real-time processing results. By the proposed implementation, the total processing speed becomes 60 times faster than that of original one on frame rate and real-time processing is achieved.
Databáze: OpenAIRE