Tracking multiple animals in wildlife footage

We describe a method for tracking animals in wildlife footage. It uses a CONDENSATION particle filtering frame-work 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 signi...

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Bibliographic Details
Main Authors: Tweed, D., Calway, A.
Format: Conference Proceeding
Language:English
Subjects:
Animals
Computer science
Data mining
Focusing
Image sequences
Layout
Particle tracking
Probability distribution
Robustness
Wildlife
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Description
Summary:We describe a method for tracking animals in wildlife footage. It uses a CONDENSATION particle filtering frame-work 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.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2002.1048227