Human detection in groups using a fast mean shift procedure

Abstract

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.

DOI: 10.1109/ICIP.2004.1418762

4 Figures and Tables

Cite this paper

@article{Beleznai2004HumanDI, title={Human detection in groups using a fast mean shift procedure}, author={Csaba Beleznai and Bernhard Fr{\"{u}hst{\"{u}ck and Horst Bischof}, journal={2004 International Conference on Image Processing, 2004. ICIP '04.}, year={2004}, volume={1}, pages={349-352 Vol. 1} }