@inproceedings{43fe953cb47f4a298f0c8a76f6188102,
title = "Vision-based moving objects detection for intelligent automobiles and a robustness enhancing method",
abstract = "This paper presents a vision-based moving objects detection work which attracts much attention in intelligent automobile applications recently. Vision-based objects detection provides object behavior information of objects and is an intuitive detection method similar to human visual perception. Besides, vision-based objects detection methods are much low-cost compared with detection methods such as RADAR (Radio Detection And Ranging), or LiDAR (Light Detection And Ranging). However, current vision-based objects detection methods still suffer from several challenges such as high false alarms and unstable detection rate which limit their value in practical applications. Accordingly, this paper presents a robustness enhancing method for vision-based moving objects detection.",
keywords = "intelligent automobile, intelligent vision, object detection, pedestrian detection",
author = "Ju, {Ting Fung} and Lu, {Wei Min} and Chen, {Kuan Hung} and Jiun-In Guo",
year = "2014",
month = sep,
day = "18",
doi = "10.1109/ICCE-TW.2014.6904109",
language = "English",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "75--76",
booktitle = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
address = "United States",
note = "null ; Conference date: 26-05-2014 Through 28-05-2014",
}