Camera-based Occupancy Detection Dataset

Data Description: A camera is taped to the ceiling of a lab at the University of Waterloo, and pictures are taken every 3 minutes between 10:15 am and 8 pm on March 9th, 11th, 12th, 13th, 14th, 15th, and 18th. Each image was rotated by -4.5 degrees and was split into four quadrants and a central region. A demo of how quadrants are truncated is in the dataset named as demo1.jpg and demo2.jpg. The files are named by the date the photo is captured, a serial number and the quadrant number. For example, mar-09-fri_cap_5_0.txt is information of the 5th picture taken on Friday, March 9th, and it is a cropped image of the 0th quadrant. Each file contains a binary denoting occupancy, where 1 indicates at least one person is present in the quadrant and 0 indicates no person in the quadrant. This dataset includes 3365 files of occupancy information deduced from 673 images each divided into 5 quadrants. This dataset has a total size of 215 KB. Funding: Cisco Systems and the Natural Science and Engineering Research Council of Canada (NSERC).

数据集说明：一台摄像头被固定在滑铁卢大学（University of Waterloo）某实验室的天花板上，于3月9日、11日、12日、13日、14日、15日及18日的每日10:15至20:00之间，每3分钟拍摄一张照片。每张图像均被旋转-4.5度，并被拆分为四个象限（quadrant）与一个中心区域。象限裁剪方式的演示样例可参见数据集中的demo1.jpg与demo2.jpg文件。
文件命名规则为拍摄日期、拍摄序列号以及象限编号。例如，mar-09-fri_cap_5_0.txt 代表3月9日周五拍摄的第5张照片的第0象限的占用情况信息。每个文件均包含一个表示占用状态的二进制标签：标签为1表示该象限内至少存在1人，标签为0则表示该象限内无人员在场。
本数据集共包含3365份占用情况信息文件，这些文件源自673张每张被拆分为4个象限与1个中心区域的原始图像。本数据集总大小为215 KB。
资助方：思科系统（Cisco Systems）与加拿大自然科学与工程研究理事会（Natural Science and Engineering Research Council of Canada，NSERC）。

搜集汇总

背景与挑战

背景概述

该数据集是一个基于摄像头的占用检测数据集，由滑铁卢大学的研究团队于2020年创建。数据采集自实验室天花板摄像头，在2020年3月的7天内每隔3分钟拍摄图像，每张图像被分割成五个区域，并提供二进制的占用标签（有人或无人），共包含3365个文件，总大小为215 KB，适用于占用检测算法的训练和评估。