This paper prescribes an approach for providing a method of detecting unusual human behavior from video images processed by Motion History Image (MHI) method. The video input data are pre- processed by Gabor filter or Haar wavelet transform and formulate MHI which are classified by SVM learning examples of usual and unusual behaviors. The four types characteristic features derived from MHI data are evaluated.