Most of the presentpedestrian detecting algorithms can notdealwithmulti view objects and can notperform in real time. Faced with these problems

this paper provided a real time multiview pedestrian detecting algorithm

which utilizes respectively the color and the contour features to construct two detectors. One is a color based detector

which

first

segments the original images based on skin color of face and hair color

and then locates the candidate head regions by using integral images

and the other is the contour detector

which employs the robusthead shoulder contour feature to construct a deformable template based on two ellipseswith size and position constraints. Two templatematching algorithms with different computing complexitywere introduced to detecthead shoulder objects. Finally

a cascaded detecting system was generated by the two detectorsmentioned above. The whole system can process imageswith 352×288 resolution at a speed of 30fps by using the cascaded structure. The algorithm proved to be effective.