| Description (include details on usage, files and paper references) | Car Accident Detection and Prediction~(CADP) dataset consists of 1,416 video segments collected from YouTube, with 205 video segments have full spatio-temporal annotations.
By downloading this dataset you agree to use this dataset for non-commercial and research based purposes and prior permission is required to be sought of authors for other use.
Available for research and non commercial use. Required to CITE original paper while using the dataset. We prohibit from other uses of the data without prior written consent from authors
Citation -
@article{shah2018accident,
title={Accident Forecasting in CCTV Traffic Camera Videos},
author={Shah, Ankit and Lamare, Jean Baptiste and Tuan, Nguyen-Anh and Hauptmann, Alexander},
journal={arXiv preprint arXiv:1809.05782},
year={2018},
note = {{First three authors share the first authorship.}},
}
or
@INPROCEEDINGS{8639160,
author={A. P. {Shah} and J. {Lamare} and T. {Nguyen-Anh} and A. {Hauptmann}},
booktitle={2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
title={CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis},
year={2018},
volume={},
number={},
pages={1-9},
keywords={Accidents;Videos;Cameras;Forecasting;Roads;Proposals;Object detection},
doi={10.1109/AVSS.2018.8639160},
ISSN={},
month={Nov},}
|
|