论文标题
低分辨率高空热绊线进行入住估计
Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation
论文作者
论文摘要
智能建筑物使用占用感知的各种任务，从节能HVAC和照明到空间利用分析和紧急响应。我们建议使用低分辨率热传感器的人计数系统。与以前的基于热传感器的人员计数系统不同，我们在入口处使用架空Tripwire配置来检测和跟踪瞬态条目或出口。我们开发了两个不同的人来计算此配置的算法。为了评估我们的算法，我们使用了建议的系统收集并标记了低分辨率的热视频数据集。该数据集是公开的，可供下载。我们还提出了新的评估指标，这些指标更适合于可能会漂移和抖动。
Smart buildings use occupancy sensing for various tasks ranging from energy-efficient HVAC and lighting to space-utilization analysis and emergency response. We propose a people counting system which uses a low-resolution thermal sensor. Unlike previous people-counting systems based on thermal sensors, we use an overhead tripwire configuration at entryways to detect and track transient entries or exits. We develop two distinct people counting algorithms for this configuration. To evaluate our algorithms, we have collected and labeled a low-resolution thermal video dataset using the proposed system. The dataset, the first of its kind, is public and available for download. We also propose new evaluation metrics that are more suitable for systems that are subject to drift and jitter.
