UNVEILING TOURIST BEHAVIOR

In this pioneering three-year study, Pro. Yu Ye and I developed an innovative tourist behavior evaluation model based on image and video analysis in the Beijing Forestry University campus. This model transforms the way tourist behaviors are analyzed, utilizing advanced computer vision model to extract detailed spatial and behavioral data from aerial footage. Applied to two sites on campus, this model not only accurately quantifies individual and group behaviors but also offers compariative insights across different sites, times and weather conditions. Our research demonstrates the significant potential of image-based analysis in understanding and enhancing site evaluation and utilization.

Current Issues Feasibility Research Dataset Establishment Methodology Analysis Result