This thesis summarises research into detecting moving objects against moving backgrounds using a pixel-wise classification. Initial experimentation with static background systems is presented along with efforts to extend such techniques to moving background situations. The results of this approach are studied and the deficiencies identified. A new system using the position is then presented after theoretical investigation of the problem which uses the rank of the displaced frame difference (DFD). This yields superior results to the DFD alone. Further work for consolidating the resultant object masks and tracking them temporally using a CONDENSATION based algorithm is also presented.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:633215 |
| Date | January 2006 |
| Creators | Knowles, Michael John |
| Publisher | University of Birmingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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