Abstract:

Support vector machine was introduced into the analysis of  moving objects,  simple and effective combination of extracted target features was performed for the classification of moving objects. We used Gaussian mixture background model to detect moving objects, from which shape features and movement features were extracted. Support vector machine was adopted to obtain the optimal decision function via training marked sample data. The experiment shows that the analysis of moving targets via support vector machine and moving object feature combination is effective.

Key words: support vector machine, moving object detection, feature extraction, classifier