Research on vehicle tracking algorithm using Contourlet transform

Vehicle tracking is a very important part of ITS and become a hot research field at home and abroad. In this paper, according to the multi-scales and multi-resolution analysis of Contourlet transform, put forward a video vehicle tracking algorithm based on the Contourlet transform. At first, according to the fixed characteristics of traffic video monitoring camera. we get the ideal vehicle target and the circum-rectangle with the method of reducing background, then, using Contourlet transform for the area of vehicle, we get the son of spectrum data in video vehicles. At last, realize video vehicle target tracking based on the vehicle image similarity measure and linear forecasting. Experiments show that this algorithm with higher tracking accuracy and better real-time.

[1]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

[2]  Zhiming Cui,et al.  Research on Moving Vehicle Detection in the Presence of Occlusion , 2010, 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science.

[3]  M. Vetterli,et al.  Contourlets: a new directional multiresolution image representation , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[4]  Cui Zhi-ming Background Extraction Based on Adaptive On-line Clustering , 2011 .

[5]  Udhav Bhosle,et al.  Image Retrieval using Contourlet Transform , 2011 .

[6]  Harald Haas,et al.  Asilomar Conference on Signals, Systems, and Computers , 2006 .