Histograms of Oriented Gradients(HOG) feature extraction.

• Obtaining the human gradient information feature according to HoG operator.
• With overlapping block moving, the feature is a histograms of 4000 dimensions.

• The extracted features are use by SVM to detection pedestrian candidates.

• Using Kalman filter to predict the movement of pedestrian.
• The movement vectors look like as following figures.