Human detection in groups using a fast mean shift procedure
Detecting individual humans within groups becomes a non-trivial task when performing automatic visual surveillance in crowded scenes. This paper proposes a novel way to detect individual humans directly from the difference image using a fast variant of the mean shift mode seeking procedure and verifying the hypothesized configuration by a model-based approach. The method runs in real-time. Promising result are demonstrated for challenging image sequences.