High Robustness Method of Nighttime Vehicle Location and Tracking
Di Chen, Binghan Liu · Jisuanji gongcheng · 2011
This paper proposes a high robustness method of nighttime vehicle location and tracking from the headlight angle of view.By virtual of Kalman filter,a robustness tracking process of each bright spot is realized and vehicle lamps are subtracted exactly according to their motion continuity and shape stability.Pedigree clustering methods based on the temporal and spatial features are brought in to classify the lamps into vehicle lamp groups.The headlight groups selected from the lamp groups are employed in the accurate location and tracking of moving vehicles.The validity and high robustness of this method is proved in the experiment.