Mobiusi/Auditorium-Graduation-Ceremony-Human-Pose-Detection-Video

Auditorium Graduation Ceremony Human Pose Detection Video

In the current fields of video surveillance and behavior recognition, accurately detecting and analyzing human poses is a key challenge. Existing pose detection technologies perform poorly in complex backgrounds and multi-person environments, and require high real-time performance. This dataset aims to address the need for accurately detecting and recognizing various human poses and behaviors in auditoriums, schools, and other scenarios. The dataset was collected during real graduation ceremonies using high-definition camera equipment to ensure video quality. To improve the accuracy of annotations, multiple rounds of annotation and consistency checks have been conducted, followed by expert team review. The annotation team consists of 10 experts in the fields of computer vision and behavior analysis. Data preprocessing includes video clipping, frame alignment, and noise filtering, with storage in a frame-by-frame manner for analysis convenience.

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
quality	string	Resolution
frame_rate	float	The number of frames displayed per second in the video.
total_frames	int	The total number of frames contained in the video.
primary_color	string	The color that occurs most frequently throughout the video.
scene_changes	int	The number of scene transitions within the video.
average_brightness	float	The overall average brightness of the video's images.
motion_intensity	float	The average intensity of detected human motion in the video.
dominant_pose	string	The most frequently occurring human pose category in the video.
person_count	int	The number of people detected in the video.
pose_variation	float	The average frequency of pose changes detected in the video.

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com