WALLPAPER DIKU NAME HD
It lasts approximately 10 minutes and contains about 70 different computer actions. The story take place on the savanna where we meet the hungry and therefore very angry lion. This method has the nice property that it is independent of the lighting on stage. The basic idea is to use the gesture recognition to execute the actions of the computer actors. The key problem of the thesis was to produce a theatrical play in which computers acts autonomously on stage with a human actor. The story ends with a singing elephant and a very flat lion.
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In doing this we came up with a new way to encode duration and order of states in hidden Markov models. Here we provide source code for GNU Octave 3. The story ends with a singing elephant and a very flat lion.
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The model has the nice property that it can easily be visualised. An MHI is a summary of mame sequence of images generated using a decay operator. The pig gets very scared but it manages to trick the lion into eating grass. Jane and Rasmus Sloth. It should be noted that this work was inspired by the excellent work by Pinhanez and Bobick, [ ref ]. We developed a tool that allowed us to visualise the state of the model in real-time.
Specifically a robot acted on stage, images were projected on stage, and sound was computer controlled. The idea was to control the computer actors by observing the behaviour of the human actor. The resulting images are easily interpreted by humans, which from a practical point of view is a very nice property.
The downside is that the method requires 3 calibrated cameras. The key problem of the thesis was to produce a theatrical play in which computers acts autonomously on stage with a human actor. The story take place on the savanna where we meet the hungry and therefore very angry lion.
To create these binary images we use a geometry based background subtraction that is based on the work of Ivanov and Bobick [ref]. Meanwhile nae hides behind a stone.
As you can tell, this is a very dramatic story, so if you haven’t read the book you really should! The Dimu are computed from a sequence of binary images of the human actor. The giraffe gets very scared but tricks the lion into eat leaves. The top left image shows the binary image produced by the background subtraction.
The corresponding MHI’s are: The colors of these boxes correspond to the colors used in the bottom left image. The final play – duration is 10 minutes [Movie mb]. Specifically the gestures of the human actor were used to control the computer actors. To make this estimation as robust as possible we used statistics to model the process. As in any play the naem is known in advance. But the elephant just laughs and throws the lion up in the skies.
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The model can be implemented using the optimal particle filter, which makes it extremely robust. This method has the nice property that it is independent of the lighting on stage. The giraffe runs away and the lion is now even more angry. The extension allows us to encode the order and expected duration of states in a simple yet efficient way. It lasts approximately 10 minutes and contains about 70 different computer actions. Bd means that the behaviour of the human actor can be used to estimate ‘the current position’ in the manuscript.
Davis and Bobick suggested that Hu moments could be used, but we found di,u Zernike moments improved the recognition greatly. The ‘boxes’ are the states of the system. To ud right you can see one frame from the movie click to enlarge the image.