论文标题
AbcTracker：一个易于使用的基于云的应用程序，用于跟踪多个对象
ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
论文作者
论文摘要
视觉多对象跟踪有可能加速许多形式的定量分析，尤其是在研究动物组内运动，行为或社交互动的研究社区中。尽管有可能增加分析吞吐量，但与现有跟踪系统有关，与可访问性，适应性，准确性或可扩展应用相关的并发症。原型和测试的几次迭代使我们进入了一个多对象跟踪系统 - AbcTracker-也就是说：在系统和技术知识要求中都可以访问，易于适应新视频，并且能够通过自动和半自动跟踪功能的混合物生成准确的跟踪数据。
Visual multi-object tracking has the potential to accelerate many forms of quantitative analyses, especially in research communities investigating the motion, behavior, or social interactions within groups of animals. Despite its potential for increasing analysis throughput, complications related to accessibility, adaptability, accuracy, or scalable application arise with existing tracking systems. Several iterations of prototyping and testing have led us to a multi-object tracking system -- ABCTracker -- that is: accessible in both system as well as technical knowledge requirements, easily adaptable to new videos, and capable of producing accurate tracking data through a mixture of automatic and semi-automatic tracking features.
