Christian Küblbeck

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The main contribution of this work is a new view to face-tracking namely to associate the independent detection results obtained by applying a real-time detector to each frame of a sequence. This differs fundamentally from traditional tracking which is mostly understood as finding the location of a target object given its previous position and a(More)
In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. One focus of the paper lies in the description of the concept of a framework that was designed in order to create a flexible environment for varying detection tasks. We describe the(More)
An important topic in face recognition as well as in video coding or multi-modal human machine interfaces is the automatic localization of faces or head-and-shoulder regions in visual scenes. The algorithms therefore should be computationally eficient and robust against distortions like varying lighting conditions. This paper describes a novel method for(More)