Vehicle Detection Research Based on USILTP Operator
College of Software Engineering, Chongqing University, Chongqing, China
* Corresponding author: email@example.com
This paper presents a uniform SILTP operator based on the SILTP operator. In the vehicle detection, SILTP can solve the problems caused by the change of sunshine, the shadow of vehicle and the noise in the surrounding environment. But the algorithm has high dimensionality which can lead to error because of the deviation of the texture characteristics. The USILTP operator can reduce the dimensionality of the detection data which adapts to the problems caused by illumination variations and the noise in the surrounding environment. First, the method uses the SILTP operator to extract the vehicle image texture characteristics and reduce the dimensionality of the detection data, and then it uses the Gauss mixture model to do background modeling, and uses the texture characteristics of the new image to update background dynamically. At last, it gets the vehicle by contracting with the background model. It has been proved that this detection algorithm has a good performance with the test of the vehicle on public roads.
Key words: local texture characteristics / vehicle detection / uniform SILTP operator
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.