CHU Surveillance Violence Detection Dataset
- Citation Author(s):
-
Dylan Josh Domingo Lopez
(Adamson University)
Cheng-Chang Lien
(Chung Hua University)
- Submitted by:
- Dylan Josh Lopez
- Last updated:
- DOI:
- 10.21227/cd9g-xs15
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Abstract
The CHU Surveillance Violence Dataset (CSVD) is a collection of CCTV footage of violent and non-violent actions aiming to characterize the composition of violent actions into more specific actions. We produced several simple action classes for violent and non-violent actions do add variety and better distribution among simple and complex action classes for RGB and Action Silhouette Videos (enhanced Optical Flow Images) with their localized actions. The dataset consists of 12 simple action classes: idle, run, walk, high-five, wave, pose, shove, grapple, punch, kick, and clobbering, which are further classified as violent or non-violent actions.
Instructions:
The dataset is split into RGB and Action Silhouette image folders consisting of 12 simple action classes: idle, run, walk, high-five, wave, pose, shove, grapple, punch, kick, and clobbering. Each simple action folders should contain the images and their corresponding bounding box annotations in JSON format.
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