DocumentCode :
3681893
Title :
Robust Rear Light Status Recognition Using Symmetrical SURFs
Author :
Li-Chih Chen;Jun-Wei Hsieh;Shyi-Chy Cheng;Zi-Ran Yang
Author_Institution :
Dept. of Electr. Eng., Lee-Ming Inst. of Technol., New Taipei, Taiwan
fYear :
2015
Firstpage :
2053
Lastpage :
2058
Abstract :
This paper proposes a new framework to detect vehicle indicator lights and recognize their statuses using symmetrical SRUFs. To detect indicator lights from a vehicle, a symmetrical descriptor is first applied to determine its position from roads. Two advantages can be gained from this scheme, there is no need of background subtraction and it is extremely efficient for real-time analysis applications. After vehicle detection, a new lamp response function is defined for isolating red components from the detected vehicle for rear lamp detection without using any thresholds. This is very different and superior to other state-of-art frameworks in the literature. The positions of rear lamp can be then accurately located by searching the peaks of lamp response function even under daytime or nighttime conditions. To recognize the statuses of a rear lamp, no training stage is needed to train a classifier for lamp status analysis. To achieve this goal, a new mask is designed to make status judgments on a lamp according to only its response sign. Because no any threshold is adopted, various rear lamps and their statuses can be accurately analyzed even under various lighting conditions.
Keywords :
"Vehicles","Vehicle detection","Image color analysis","Feature extraction","Roads","Real-time systems","Training"
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
ISSN :
2153-0009
Electronic_ISBN :
2153-0017
Type :
conf
DOI :
10.1109/ITSC.2015.332
Filename :
7313424
Link To Document :
بازگشت