面向旅客流精准感知的视频分析与多源信息融合数据集

面向旅客流精准感知的视频分析与多源信息融合数据集面向机场综合交通区域旅客流精准感知的需求建设，以视频数据为基础，选取其余对应点位。数据集以公开数据、多机场实际数据、首都机场运行数据相结合的方式，形成了样本、验证、测试、运行数据集。通过算法分析，主要记录了人流静态人数、人流累计人数、人流密度等数据。数据量约2.3GB。

Video Analysis and Multi-source Information Fusion Dataset for Precise Passenger Flow Perception
This dataset is constructed to meet the requirements of precise passenger flow perception in airport integrated transportation areas. It is developed based on video data, with corresponding data from other relevant monitoring points included. The dataset is formed by combining three types of data: public datasets, actual operational data from multiple airports, and operational data from Capital Airport, and is categorized into four subsets: sample, validation, test, and operational datasets. Through algorithmic analysis, it primarily records key passenger flow-related metrics including static passenger count, cumulative passenger count, and passenger flow density. The total size of the dataset is approximately 2.3 GB.

搜集汇总

背景与挑战

背景概述

该数据集是一个面向机场旅客流精准感知的视频分析与多源信息融合数据集，旨在支持机场综合交通区域的客流监控和态势分析。数据集以视频数据为基础，整合公开数据、多机场实际数据和首都机场运行数据，形成样本、验证、测试、运行数据集，通过算法分析记录人流静态人数、累计人数和密度等关键指标，数据量约2.3GB，包含6802个文件，适用于客流分析和智能交通研究。数据集由中国民用航空总局第二研究所创建，属于国家重点研发计划项目，专注于航空运输领域的应用。