<p>This thesis develops an algorithm for tracking the boundary of an airbag throughout an image sequence. The algorithm is designed to work even if various problematic features, e.g. objects in the background, are present in the image. The work is built on an existing commercially available image processing and analysis suite targeted at the automotive industry. The software suite runs on standard PC hardware. </p><p>Firstly, improvements to the airbag tracking algorithm already available in the suite are considered. Testing reveals that these measures are not sufficient to overcome the problems posed by the problematic image sequences. </p><p>A new tracking algorithmis then proposed. It consists of a Canny edge detector, optional steps to enhance feature detection by removing edges in the background and edges interior to the boundary of the airbag and finally an active contour. The role of the active contour is to produce a closed curve while imposing smoothness constraints on the detected boundary. The active contour is in each frame initialized by linearly extrapolating the contour from previous frames. </p><p>The algorithm works very well and it is fast enough to run on slower machines than was initially targeted.</p>
| Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:liu-2072 |
| Date | January 2003 |
| Creators | Larsson, Pär |
| Publisher | Linköping University, Department of Electrical Engineering, Institutionen för systemteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, text |
| Relation | LiTH-ISY-Ex, ; 3445 |
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