Title :
Lane Boundary Detection and Tracking using NNF and HMM Approaches
Author :
Boumediene, M. ; Ouamri, A. ; Dahnoun, N.
Author_Institution :
Univ. of Sci. & Technol. of Oran Mohamed Boudiaf, Oran elMnouar
Abstract :
In this communication we present a new algorithm of lane detection and tracking. In the detection step, from the first frame of a video sequence, a linear-parabolic model is used to smooth the estimated trajectories, obtained by using the NNF approach. In the step of tracking, assuming a small change in the model, we use the HMM to update each parameter of the model. The results obtained are satisfactory.
Keywords :
hidden Markov models; image processing; HMM approaches; NNF approach; lane boundary detection; tracking; Boolean functions; Data structures; Hidden Markov models; Intelligent vehicles; Radar detection; Radar tracking; Roads; Target tracking; Trajectory; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290265
