earticle

영어

Robust detection of humans in image sequences is important for many applications. However, if humans are adjacent to each other, it is much more difficult to accurately detect them. In this paper, we propose a method to automatically detect multiple humans using motion information and Adaboost algorithm from a single camera on a mobile or stationary system. In case of mobile system, the ego-motion of the camera is compensated by the corresponding feature sets. The region of interest that moving objects are likely to exist is searched by the projection approach using a difference image between two consecutive images that an ego-motion is compensated. Human detector is learned by boosting a number of weak classifiers which are based on Harr-like features. The proposed approach has been tested to a number of image sequences, and it was shown to detect multiple humans very well.