Nicolas H. Lehment

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CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have(More)
Current experiments with HCIs have shown a high demand for more natural interaction paradigms. Gestures are thereby considered the most important cue besides speech. In order to recognize gestures it is necessary to extract meaningful motion features from the body. Up to now mostly marker based tracking systems are used in virtual reality environments,(More)
This paper describes the TUM approaches for violent scenes detection in movies, submitted for the MediaEval 2012 Affect Challenge. Score fusion is used to fuse Support-Vector Machine (SVM) confidence scores assigned to short fixed length windows within each movie shot. SVM predictors for acoustic and visual channels are trained. For the acoustic channel, a(More)
While monocular gesture recognition slowly reaches maturity , the inclusion of 3D gestures remains a challenge. In order to enable robust and versatile depth-enabled gestures, a depth-image based tracking approach is developed. Using a model-based annealing particle filter approach, the pose of a single subject is retrieved and tracked over longer image and(More)
Share Zone Presentation Zones (a) (b) (c) Figure 1: Basic layout of the proposed collaborative system. Virtual objects are augmented into the participants views and can be manipulated by touch. Also shown are the hand centered marker menus (a,c), spatial sharing management (b) and the occlusion handling (c). ABSTRACT In this paper an interaction framework(More)
In this contribution a novel method to compute dense point-to-point correspondences between 3D faces is presented. The faces are aligned in 3D space with a Generalized Procrustes Analysis and subsequently mapped into 2D space. To compute a correspondence flow between two faces an energy function is minimized which is based on the following assumptions:(More)
In this paper we present a system for detecting unusual events in smart home environments. A primary application of this is to prolong independent living for elderly people at their homes. We show how to effectively combine information from multiple heterogeneous sensors which are typically present in a smart home scenario. Data fusion is done in a 3D voxel(More)