An Effective Method of Head lamp and Tail Lamp Recognition for Night Time Vehicle Detection

  title={An Effective Method of Head lamp and Tail Lamp Recognition for Night Time Vehicle Detection},
  author={Hyun-Koo Kim and Sagong Kuk and Minkwan Kim and Ho-Youl Jung}
vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting vehicle headlights and taillights using techniques of image segmentation and clustering. First, to effectively extract spotlight of interest, a segmentation process based on automatic multi-level threshold method is applied on the road-scene images. Second, to spatial clustering vehicle of detecting lamps, a grouping process based on light tracking and locating vehicle… CONTINUE READING


Publications citing this paper.
Showing 1-4 of 4 extracted citations

Robust Rear Light Status Recognition Using Symmetrical SURFs

2015 IEEE 18th International Conference on Intelligent Transportation Systems • 2015
View 8 Excerpts
Highly Influenced

Vision-Based Nighttime Vehicle Detection Using CenSurE and SVM

IEEE Transactions on Intelligent Transportation Systems • 2015


Publications referenced by this paper.
Showing 1-10 of 11 references

The support vector machine under test

Neurocomputing • 2003
View 3 Excerpts
Highly Influenced

Lane Detection for Adaptive Control of Autonomous Vehicle Candidate journal for Accreditation

Hyun-Koo Kim, Yeonghwan Ju, Jonghun Lee, Yongwan Park, Ho-Youl Jung
Journal of IEMEK • 2009

Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles

18th International Conference on Pattern Recognition (ICPR'06) • 2006
View 1 Excerpt

Robot Vision

Robot Vision • 1996
View 1 Excerpt

Similar Papers

Loading similar papers…