Quantifying environmental constraints on animal behaviour

量化环境对动物行为的限制

• 批准号: DP170102370
• 负责人: A/Prof Richard Peters
• 金额: $ 23.34万
• 依托单位: La Trobe University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170102370
• 关键词: Quantifying; environmental; constraints; animal; behaviour

This project aims to determine how habitat structure, weather and motion vision influence animal behaviour. Motion vision controls locomotion, foraging, evading predators and communicating. However, information on the conditions for motion vision in natural environments is limited. To address this, this project will combine field techniques with tools from 3D animation and computer vision. The project will focus on Australia’s dragon lizards, and place their motion displays in a visual-ecological context. The expected outcome is a more complete picture of the signalling context, which could advance sensory ecology, vision science and animal behaviour, with practical applications in artificial intelligence and derived benefits for education and community engagement in biology.

该项目旨在确定栖息地结构，天气和运动视觉如何影响动物行为。运动视觉控制运动、觅食、躲避捕食者和交流。然而，在自然环境中的运动视觉的条件的信息是有限的。为了解决这一问题，该项目将联合收割机现场技术与3D动画和计算机视觉工具相结合。该项目将专注于澳大利亚的龙蜥蜴，并将其运动显示在视觉生态环境中。预期的结果是更完整地了解信号背景，这可以推进感官生态学，视觉科学和动物行为，在人工智能中有实际应用，并为生物学的教育和社区参与带来好处。