视频处理_VIRAT Video Dataset(美国国防部高级研究计划局VIRAT视频数据库)
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VIRAT Video Dataset(美国国防部高级研究计划局
VIRAT视频数据库)
数据摘要：
The dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets.
Compared to existing datasets, the distinguishing characteristics of the dataset are the following:
?Realism and natural scenes: Data was collected in natural scenes showing people performing normal actions in standard contexts, with uncontrolled, cluttered backgrounds. There are frequent incidental movers and background activities. Actions performed by directed actors were minimized; most were actions performed by the general population.
?Diversity: Data was collected at multiple sites distributed throughout the USA. A variety of camera viewpoints and resolutions were included, and actions are performed by many different people.
?Quantity: Diverse types of human actions and human-vehicle interactions are included, with a large number of examples (>30) per action class.
?Wide range of resolution and frame rates: Many applications such as video surveillance operate across a wide range of spatial and temporal resolutions. The dataset is designed to capture these ranges, with 2–30Hz frame rates and 10–200 pixels in person-height. The dataset provides both the original videos with HD quality and downsampled versions both spatially and temporally.
?Ground and Aerial Videos: Both ground camera videos and aerial videos are collected released as part of VIRAT Video Dataset.
VIRAT Video Dataset will contain two broad categories of activities (single-object and two-objects) which involve both human and vehicles. Details of included activities, and annotation formats may differ per release. Relevant information can be found from each release information.
中文关键词：
视频监控,背景混乱,场景,人体行为,识别,
英文关键词：
video surveillance,background clutter,scenes,human
activity,recognition,
数据格式：
VIDEO
数据用途：
The dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets.
数据详细介绍：
VIRAT Video Dataset
Purpose and Characteristics
The dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets.
Compared to existing datasets, the distinguishing characteristics of the dataset are the following:
∙Realism and natural scenes: Data was collected in natural scenes showing people performing normal actions in standard contexts, with uncontrolled, cluttered backgrounds. There are frequent incidental movers and background activities. Actions performed by directed actors were minimized; most were actions performed by the general population.
∙Diversity: Data was collected at multiple sites distributed throughout the USA. A variety of camera viewpoints and resolutions were included, and actions are performed by many different people.