Kehinde Owoeye

Kehinde Owoeye
University College London | UCL · Department of Computer Science

Doctor of Philosophy

About

11
Publications
629
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20
Citations

Publications

Publications (11)
Conference Paper
Full-text available
Learning the activities of animals is important for the purpose of monitoring their welfare vis a vis their behaviour with respect to their environment and conspecifics. While previous works have largely focused on activity recognition in a single animal, little or no work has been done in learning the collective behaviour of animals. In this work,...
Conference Paper
Full-text available
The recent pandemic has once again brought to the fore the increasing interconnectedness between humans and exotic animals in one ecosystem. While the exact origin of the corona virus disease remains largely unknown, some experts have increasingly targeted wet markets where exotic animals are sold as the major origin of the disease. Although this m...
Conference Paper
Full-text available
Early forecasting of bird migration patterns has important application for example in reducing avian biodiversity loss. An estimated 100 million to 1 billion birds are known to die yearly during migration due to fatal collisions with human made infrastructures such as buildings, high tension lines, wind turbines and aircrafts thus raising a huge co...
Preprint
Full-text available
Understanding the movement patterns of animals across different spatio-temporal scales, conditions, habitats and contexts is becoming increasingly important for addressing a series of questions in animal behaviour studies, such as mapping migration routes, evaluating resource use, modelling epidemic spreading in a population, developing strategies...
Conference Paper
Finding structures and patterns in animal movement data is essential towards understanding a variety of behavioural phenomena, as well as shedding light into the relationships between animals among conspecifics and across different taxa with respect to their environments. The recent advances in the field of computational intelligence coupled with t...
Preprint
Full-text available
Building models of anomalous behaviour in animals is important for monitoring animal welfare as well as assessing the efficacy of therapeutic interventions in preclinical trials. In this paper, we describe methods that allow for the automatic discrimination of sheep with a genetic mutation that causes Batten disease from an age-matched control grou...
Preprint
Full-text available
Forecasting stop-over decisions and mapping the stop-over sites of wild migratory birds is fast becoming important in light of recent developments affecting global health. Migratory wild birds stop at sites with access to food resources so they can rest before continuing with their journey. Unfortunately, these sites offer opportunities for these b...
Conference Paper
Full-text available
Building mechanistic and predictive models of animal behaviour is important for understanding the neural basis underlying animal behaviours such as movement, social relationships, sleeping and feeding. Earlier attempts at building models of animal behaviour have either focused on behaviours in well controlled laboratory environments resulting in be...
Preprint
Full-text available
Learning to automatically perceive smell is becoming increasingly important with applications in monitoring the quality of food and drinks for healthy living. In todays age of proliferation of internet of things devices, the deployment of electronic nose otherwise known as smell sensors is on the increase for a variety of olfaction applications wit...
Preprint
Learning the activities of animals is important for the purpose of monitoring their welfare vis a vis their behaviour with respect to their environment and conspecifics. While previous works have largely focused on activity recognition in a single animal, little or no work has been done in learning the collective behaviour of animals. In this work,...

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Projects

Projects (3)
Project
Build models with the aim of preventing or managing the spread of zoonotic diseases.
Project
Deep learning approach towards forecasting migration patterns
Project
To train an artificial sheep to move in a flock.