TrackMe简化动物多目标跟踪标注，无需编程基础也能高效操作。
TrackMe:A Simple and Effective Multiple Object Tracking Annotation Tool
- 基于LabelMe改造，专为动物追踪设计的标注工具
- 支持多目标跟踪标注，提升数据构建效率
- 适合生物行为研究者、无计算机背景的用户使用
动物跟踪是理解与监测动物行为的重要研究方向。当前主流跟踪方法基于深度学习架构，依赖于人体和车辆等常见物体的数据集进行训练与评估。然而，针对动物的跟踪仍需大量跨类型、多场景的高质量数据集。数据集构建包含数据采集与标注，其中标注环节尤为耗时。本文聚焦标注任务，对知名工具LabelMe进行升级，推出TrackMe工具，旨在帮助普通用户（即使无计算机背景）以更低成本完成标注。TrackMe继承了原工具的简洁性、高系统兼容性、低硬件要求和易用特性，并新增多目标跟踪所需的核心功能，显著提升标注效率。
原文摘要 · Abstract (English)
Object tracking, especially animal tracking, is one of the key topics that attract a lot of attention due to its benefits of animal behavior understanding and monitoring. Recent state-of-the-art tracking methods are founded on deep learning architectures for object detection, appearance feature extraction and track association. Despite the good tracking performance, these methods are trained and evaluated on common objects such as human and cars. To perform on the animal, there is a need to create large datasets of different types in multiple conditions. The dataset construction comprises of data collection and data annotation. In this work, we put more focus on the latter task. Particularly, we renovate the well-known tool, LabelMe, so as to assist common user with or without in-depth knowledge about computer science to annotate the data with less effort. The new tool named as TrackMe inherits the simplicity, high compatibility with varied systems, minimal hardware requirement and convenient feature utilization from the predecessor. TrackMe is an upgraded version with essential features for multiple object tracking annotation.
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