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Automatic Detection and Recognition of Individuals in Patterned Species
In this work, we develop a framework for automatic detection and recognition of individuals in different patterned species like tigers, zebras and jaguars.
Primate Face Identification in the Wild
This loss of habitat has skewed the population of several non-human primate species like chimpanzees and macaques and has constrained them to co-exist in close proximity of human settlements, often leading to human-wildlife conflicts while competing for resources.
Unique Identification of Macaques for Population Monitoring and Control
Despite loss of natural habitat due to development and urbanization, certain species like the Rhesus macaque have adapted well to the urban environment.
Semi-Supervised Clustering with Neural Networks
Clustering using neural networks has recently demonstrated promising performance in machine learning and computer vision applications.
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