stripespotter
2016-05-16
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StripeSpotter
StripeSpotter
is an automatic individual animal identification system for animals with prominent stripes or patches, developed as a joint project between the Computational Population Biology laboratory at the University of Illinois at Chicago, and the Equid Research and Conservation laboratory at Princeton University. It is intended to be used to identify animals in the wild, and to build biometric databases using photographs taken in the field. We are currently using it to build a zebra-print database for Plains and Grevys zebra in Kenya.It has a number of friendly features:
- Cutting edge algorithms
- CO-1 and our own
StripeCode
algorithm (see below)
- CO-1 and our own
stripespotter
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