The Open Automation and Control Systems Journal

2015, 7 : 1-7
Published online 2015 February 11. DOI: 10.2174/1874444301507010001
Publisher ID: TOAUTOCJ-7-1

Spatio-temporal Feature Classifier

Yun Wang and Suxing Liu
School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, 255049, P.R. China.

ABSTRACT

Different from current foreground and background segmentation methods, we did not utilize the low level image representation method (such as boundaries and textures) to extract the feature of the videos, instead we proposed a spatio-temporal feature classifier to obtain the union region of object from natural videos as the interest points. We slide the temporal chunk along time axis to obtain samples from videos, and train the Support Vector Machine (SVM) with feature vectors. Then we built a spatio-temporal feature classifier and tested our algorithm on the most popular benchmark dataset. Experiment results showed the effectiveness and robustness of the algorithm.

Keywords:

Classifier, Feature extraction, Spatio-temporal.