@inproceedings{498ac2a6d24e465b81a66f2a8d8f9dc1,
title = "Fast pedestrian detection using color information",
abstract = "In a pedestrian detection system, the application of color information can increase the detection rate; however, the detection speed will be slowed down a lot. This paper presents a fast pedestrian detection method using color information. It firstly scans a pair of sequential gray-scale frames to select candidates using both appearance and motion features; and then uses information of each color channel (RGB) to do a further confirmation with support vector machine based classifiers. Compared with pedestrian detection systems that only use gray-scale information, the system using our method has almost the same detection speed; at the same time, it also gets a better detection rate and false-positive rate. The experiment in a pedestrian detection system with a single optical camera proves the effectiveness of our method.",
author = "Xu, \{Y. W.\} and Cao, \{X. B.\} and H. Qiao and Wang, \{F. Y.\}",
year = "2006",
doi = "10.1007/11760146\_68",
language = "英语",
isbn = "3540344780",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "627--632",
booktitle = "Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings",
note = "IEEE International Conference on Intelligence and Security Informatics, ISI 2006 ; Conference date: 23-05-2006 Through 24-05-2006",
}