演讲嘉宾：
Sky Alibhai, WildTrack总监兼联合创始人
Zoe Jewell, WildTrack总裁兼联合创始人
Binbin Li, 昆山杜克大学(Duke Kunshan University)环境研究中心的环境科学助理教授
Speakers:
Sky Alibhai, Director and Co-Founder, WildTrack
Zoe Jewell, President and Co-Founder, WildTrack
Binbin Li, Assistant Professor of Environmental Sciences of the Environmental Research Center, Duke Kunshan University
演讲主题：JMP®中的FIT （足迹识别技术）：监测大熊猫种群数量
Topic: FIT in JMP: Monitoring giant panda populations
摘要：
研究表明，大熊猫这种世界上最具标志性的物种需要帮助。为了帮助这一濒危物种，环境保护主义者需要可靠的数量和分布数据。这正是WildTrack和昆山杜克大学的科学家们一展所长之处。这些科学家与中国政府的研究人员携手合作，采用一种高性价比、非入侵式、亲近自然的足迹识别技术来收集大熊猫的足迹数据。随后，WildTrack构建高度精确的算法以划分个体并确定性别，这是目前最成功的大熊猫数据收集和分析的方法。动物保护的方法一直在发展，通过部署高分辨率的无人机可以捕捉到过去无法到达的区域中的足迹，以及探索如何应用深度学习帮助过滤越来越多的数据。这项工作有助于为野生大熊猫种群创造美好未来，也有助于保护地球上生物多样性最丰富的同一片栖息地中的其他物种。
Abstract:
Arguably the world’s most iconic species, the giant panda needs help. And to help this endangered species, conservationists need reliable data on numbers and distribution. That's where WildTrack and Duke Kunshan University scientists come into play. Together with researchers from the Chinese government, these scientists employ a cost-effective, non-invasive and community-friendly footprint identification technique to collect footprint data from giant pandas. Then WildTrack builds highly accurate algorithms to classify individuals and determine their sex, which is the most successful giant panda data collection and analysis method to date. Yet the conservation methods continue to evolve, deploying high-resolution drones to capture footprints in previously inaccessible areas, and exploring the application of deep learning to help filter increasing volumes of data as they come in. This work helps provide a promising future for wild panda populations and the protection of the other species that share this habitat that hosts some of the richest biodiversity on earth.
