Datasets
Standard Dataset
Abnormal High Density Crowds
- Citation Author(s):
- Submitted by:
- sanjeeb tiwary
- Last updated:
- Fri, 11/10/2023 - 10:52
- DOI:
- 10.21227/m4vb-p620
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
Data Preprocessing:
All video footage in this dataset has undergone comprehensive preprocessing techniques, including frame extraction, anomaly identification, cropping of frames to emphasize crowded scenes, and compression to reduce storage space.
Overview:
This dataset encompasses four distinct scene incidents, each meticulously detailed below:
1. Times Square Chaos:
Video Source: Times Square Chaos from Three Angles
Viewpoints: Three different perspectives.
View_1: Angled shot, abnormal behavior starts at 00:00:12. Dimensions: 1280x720.
View_2: Closeup eye-level shot, abnormal behavior starts at 00:00:53. Dimensions: 1280x720.
View_3: Angled shot with cropped dimensions (580x720), abnormal behavior starts at 00:01:39.
2. Las Vegas Mass Shooting:
Video Source: Las Vegas Mass Shooting CCTV Video
Training & Testing Frames: Divided into normal and abnormal instances at different angles and time frames.
Train: Wide angled shot, normal behavior between 00:11:17 and 00:16:05. Dimensions: 992x468.
Test_1: Same angle as training footage, abnormal behavior between 00:16:06 and 00:17:17. Dimensions: 992x468.
Test_2, Test_3, Test_4: Varied angles and grayscale for abnormal behavior instances. Dimensions: 1280x720.
3. Love Parade Disaster:
Video Source: Love Parade Disaster
Training & Testing Frames: Split into normal and abnormal sequences at a specific angle and time frame.
Train_1, Train_2: Angled shots with normal behavior within defined time frames. Dimensions: 1280x720.
Test: Abnormal behavior between 00:10:48 and 00:11:03. Dimensions: 1280x720. Frame-level labeling stored in XML format.
4. Juventus Fan Panic in Italy:
Video Sources: Video 1, Video 2
Viewpoints: Divided into two distinct viewpoints comprising abnormal behaviour instances.
View_1: Wide, close, eye-level shot with abnormal behavior between 00:00:00 and 00:00:28. Dimensions: 1280x720.
View_2: Wide angled shot, abnormal behavior between 00:00:00 and 00:00:28. Dimensions: 880x720.
This dataset provides a comprehensive collection of annotated abnormal behaviors captured in different real-life scenarios, crucial for anomaly detection research and analysis.
All video footage in this dataset has undergone comprehensive preprocessing techniques, including frame extraction, anomaly identification, cropping of frames to emphasize crowded scenes, and compression to reduce storage space.
Dataset Files
- Abnormal High-density Crowds.rar (9.87 GB)
- Scripts.txt (2.24 kB)
Documentation
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