We seek advances broadly in the areas of:

• Visual Identification of Wildlife

• Detection and identification of distinct individual animals or birds in images and videos

• Species-level classification in images and videos

• Feature representations for visual animal biometrics

• Shape and size estimation using conventional and specialized visual sensors

• Video Analytics for Wildlife Monitoring

• Tracking of animals in videos

• Recognizing various actions in animals and birds, eg, actions like feeding, fighting, grooming, etc

• Analytics for group behavior understanding, eg, tracking of herds in aerial videos, counting individuals in a group, re-identification of herds or groups

• Visual Monitoring Tools

• Embedded visual sensing technology for wildlife monitoring

• Interactive, semi-automatic software tools for wildlife monitoring

• Innovative Computational Directions/Applications

• Computational photography for improved wildlife sensors

• Autonomy and Control in monitoring (eg using UAV for image acquisition, dynamic recognition)

• Leveraging ecological models for adaptive monitoring

• Unsupervised, semi-supervised and supervised learning methods for detection, identification, tracking and behavioral understanding of individual or animal groups