Abstract
We describe a method for tracking animals in wildlife footage. It uses a CONDENSATION particle filtering framework driven by learnt characteristics of specific animals. The key contribution is a periodic model of animal motion based on the relative positions over time of trackable features at significant body points. We also introduce techniques for maintaining a multimodal state density within the particle filter over time to enable consistent tracking of multiple animals. Initial experiments show that the approach has considerable potential.
| Translated title of the contribution | Tracking Multiple Animals in Wildlife Footage |
|---|---|
| Original language | English |
| Title of host publication | 16th International Conference on Pattern Recognition (ICPR 2002), Quebec, August |
| Editors | R Kasturi, D Laurendeau, C Suen |
| Publisher | IEEE Computer Society |
| Pages | 20024 - 20027 |
| Number of pages | 4 |
| ISBN (Print) | 0769516963 |
| Publication status | Published - Aug 2002 |