
| Phase 1 | |
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Research
Phase 1 1. A video camera was mounted to a piece of wood that was secured onto a bicycle helmet see figure 1
2. A
test subject wearing this helmet walked through a designated
room 3.
Video was recorded as the subject navigated through the room 4. A simple map of the room was then constructed by hand see figure 2 ![]() Figure 2. Map of Residential Building[11] 5. The video was imported into MatLab where selected object features where picked out by hand that corresponded to identical features from the map see figure 3(see colored markers)
Figure 3. Image Features[11] 6. Using the feature’s angles(see components section) relative to the camera’s boresight and the dimension’s from the map the camera’s position could be calculated see figure 4
Figure 4. Map
Correlation[11]
7. From
the sequential camera positions the trajectory could be estimated |
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Copyright
© Christopher Nielsen, 2009. All rights
reserved. |
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