Length-based vehicle classification in multi-lane traffic flow |
| |
| Authors: | YU Yang YU Ming YAN Gang ZHAI Yandong |
| |
| Institution: | YU Yang,YU Ming,YAN Gang,ZHAI Yandong (School of Information Engineering,Hebei University of Technology,Tianjin 300401,China) |
| |
| Abstract: | For the realtime classification of moving vehicles in the multi-lane traffic video sequences, a length-based method is proposed.
To extract the moving regions of interest, the difference image between the updated background and current frame is obtained
by using background subtraction, and then an edge-based shadow removal algorithm is implemented. Moreover, a thresholding
segmentation method for the region detection of moving vehicle based on location search is developed. At the estimation stage,
a registration line is set up in the detection area, then the vehicle length is estimated with the horizontal projection technique
as soon as the vehicle leaves the registration line. Lastly, the vehicle is classified according to its length and the classification
threshold. The proposed method is different from traditional methods that require complex camera calibrations. It calculates
the pixel-based vehicle length by using uncalibrated traffic video sequences at lower computational cost. Furthermore, only
one registration line is set up, which has high flexibility. Experimental results of three traffic video sequences show that
the classification accuracies for the large and small vehicles are 97.1% and 96.7% respectively, which demonstrates the effectiveness
of the proposed method. |
| |
| Keywords: | image processing background subtraction vehicle classification virtual line horizontal projection |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
|
