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| - | == Depth-Adaptive Superpixels (BA/HiWi)== | + | == Depth-Adaptive Superpixels (BA/MA)== |
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| We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect with a thermal image camera. Within this project we want to enhance the Depth-Adaptive Superpixels (DASP) to make use of the thermal sensor data. Depth-Adaptive Superpixels oversegment an image taking into account the depth value of each pixel. | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect with a thermal image camera. Within this project we want to enhance the Depth-Adaptive Superpixels (DASP) to make use of the thermal sensor data. Depth-Adaptive Superpixels oversegment an image taking into account the depth value of each pixel. | ||
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| Contact: [[team: | Contact: [[team: | ||
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| + | == Depth-Adaptive Superpixels (BA/MA)== | ||
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| + | For tracking people, the use of particle filters is a common approach. However, the quality of those filters heavily depends on the way particles are spread. In this thesis, a library for the physical simulation of a human model is to be implemented. | ||
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| + | Requirements: | ||
| + | * Good programming skills in C/C++ | ||
| + | * Optional: Experience in working with physics libraries such as Bullet | ||
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| + | Contact: [[team: | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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