The estimation and analysis of the activity of a person has become an important component in many robotic applications such as Human-Robot Collaboration and assisted living systems. However, many existing approaches lack generalizability due to (a) their sensory set-up or (b) the use of a set of features which might be difficult to extract in a variety of application scenarios. This thesis focuses on the head of a person and its purpose is to create a framework that extracts features from the head that can be used for activity recognition. Key requirements for the framework are (1) its generic usability independent of the particular application/scene, (2) real-time capability, (3) a non-intrusive set-up using a low-priced RGB-D camera an...
The EYEDIAP dataset was designed to train and evaluate gaze estimation algorithms from RGB and RGB-D...
According to the working scenes, a proper light environment can enable people to maintain greater at...
The research field, covered by this thesis is strongly related to recognition and modelling of human...
Gaze direction is an important communicative cue. In order to use this cue for human-robot interacti...
This dissertation focuses on vision-based articulated body pose tracking and human activity analysis...
This paper investigates the possibility of accurately detecting and tracking human gaze by using an ...
Effective interaction between a human and a robot requires the bidirectional perception and interpre...
The acceptance of service robots comes along with the ability to adapt to user specific preferences....
In a human-robot interaction scenario, the robot must be aware of which objects capture the user’s a...
Advances in visual computing have reached a point where systems can observe and interpret human acti...
The objective of Head Pose dataset was to construct a video database allowing to perform quantitativ...
This work addresses the problem of automatic head pose estimation and its application in 3D gaze est...
A solution for driver monitoring and event detection based on 3D information from a range imaging ca...
Humans are increasingly cooperating with machinery/robots in a high number of domains and under unco...
Abstract Interaction between a personal service robot and a human user is contingent on being aware ...
The EYEDIAP dataset was designed to train and evaluate gaze estimation algorithms from RGB and RGB-D...
According to the working scenes, a proper light environment can enable people to maintain greater at...
The research field, covered by this thesis is strongly related to recognition and modelling of human...
Gaze direction is an important communicative cue. In order to use this cue for human-robot interacti...
This dissertation focuses on vision-based articulated body pose tracking and human activity analysis...
This paper investigates the possibility of accurately detecting and tracking human gaze by using an ...
Effective interaction between a human and a robot requires the bidirectional perception and interpre...
The acceptance of service robots comes along with the ability to adapt to user specific preferences....
In a human-robot interaction scenario, the robot must be aware of which objects capture the user’s a...
Advances in visual computing have reached a point where systems can observe and interpret human acti...
The objective of Head Pose dataset was to construct a video database allowing to perform quantitativ...
This work addresses the problem of automatic head pose estimation and its application in 3D gaze est...
A solution for driver monitoring and event detection based on 3D information from a range imaging ca...
Humans are increasingly cooperating with machinery/robots in a high number of domains and under unco...
Abstract Interaction between a personal service robot and a human user is contingent on being aware ...
The EYEDIAP dataset was designed to train and evaluate gaze estimation algorithms from RGB and RGB-D...
According to the working scenes, a proper light environment can enable people to maintain greater at...
The research field, covered by this thesis is strongly related to recognition and modelling of human...