Robust people detection by fusion of evidence from multiple methods

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. V. Fernández-Carbajales, M. A. García, and J. M. Martínez, "Robust People Detection by Fusion of Evidence from Multiple Methods", in Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008. WIAMIS 2008, p. 55-58.This paper describes and evaluates an algorithm for real-time people detection in video sequences based on the fusion of evidence provided by three simple independent people detectors. Experiments with real video sequences show that the proposed integration-based approach is effective, robust and fast by combining simple algorithms.This work is supported by Cátedra Infoglobal-UAM para “Nuevas tecnologías de vídeo aplicadas a la seguridad”, the Spanish Government (TEC2007- 65400 SemanticVideo) and the Comunidad de Madrid (S-050/TIC-0223 - ProMultiDis-CM)