Moving object detection algorithm with superpixel features
HU Zhao-hua
ZHANG Wei-xin
SHAO Xiao-wen
Abstract：The pixel-level background modeling algorithms take into account only the time continuity,without consid-ering spatial correlation.So it causes incomplete detection,which is not conducive to subsequent identification or tracking task.To deal with the above problems,we do the following work.Firstly,the ViBe algorithm is not robust to dynamic background,so a method to measure the dynamic background complexity is proposed by using the samples'standard de-viation.And the value is used to update online the background modeling update rate and distance threshold,which can achieve robust detection.Secondly,amoving object detection algorithm based on superpixel features is proposed.The su-perpixel segmentation results have many advantages,such as better edge information and controllable superpixel number.And superpixel features are extracted using SLIC0 segmentation algorithm,the pixels'mean value in superpixel blocks is used as the feature value,and the superpixel features are used in pixel-level background modeling framework.Finally,due to the number of superpixel features is unstable, so the superpixel features, which are used to construct the background modeling,are located in the same position of initial seed points.Experiments show that the proposed method can obtain better objects edge information and it can effectively reduce the effects of dynamic background.
Keywords：ViBesuperpixelmotion objects detectionSLIC0dynamic background
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1568-1574 )