# Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video

arXiv: https://arxiv.org/abs/1908.10899 · HTML: https://mlsanity.com/paper/1908.10899/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Aug 2019.

## Built on by (most cited first, 1 of 1)

- [UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV](https://mlsanity.com/paper/2208.06702/) (2022)

## Abstract (arXiv)

The Out the Window (OTW) dataset is a crowdsourced activity dataset containing 5,668 instances of 17 activities from the NIST Activities in Extended Video (ActEV) challenge. These videos are crowdsourced from workers on the Amazon Mechanical Turk using a novel scenario acting strategy, which collects multiple instances of natural activities per scenario. Turkers are instructed to lean their mobile device against an upper story window overlooking an outdoor space, walk outside to perform a scenario involving people, vehicles and objects, and finally upload the video to us for annotation. Performance evaluation for activity classification on VIRAT Ground 2.0 shows that the OTW dataset provides an 8.3% improvement in mean classification accuracy, and a 12.5% improvement on the most challenging activities involving people with vehicles.