Human faces are commonly found in video streams and provide useful information for video content analysis. This paper presents a robust face tracking system to extract multiple fa...
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
This paper proposes a novel method for robust and automatic realtime head tracking by fusing face and head cues within a multi-state particle filter. Due to large appearance vari...
This paper describes a system which uses multiple visual processes to detect and track faces for video compression and transmission. The system is based on an architecture in whic...
This paper presents an automatic system for the monitoring of indoor environments using pan-tilt-zoomable cameras. A combination of Haar-feature classifier-based detection and co...
Keni Bernardin, Florian van de Camp, Rainer Stiefe...