Feature Sets Computed at Different Scales and Positions

This is a complete implementation version including calling files. The entire video can be represented using feature sets computed at different scales and positions. The Hog3D descriptor, proposed by Alexander Klaser, Marcin Marszałek, Cordelia Schmid, and colleagues, extends the HOG concept from static image feature extraction to video sequence feature extraction, achieving excellent results in pedestrian detection within video sequences. The implementation typically involves 3D gradient computation and spatiotemporal block normalization.