@inproceedings{7ad73c0362e749da86d82ef5d2ab0878,
title = "Motion detection with spatiotemporal sequences",
abstract = "In this paper we propose a new method to detect motion in a greyscale video. In our algorithm, several spatiotemporal sequences with different lengths are used to filter the frames in the video. Then these filtered images are combined together to get the real motion. The performance of our algorithm is tested with several human action datasets in which different actions are performed. The detected results of our algorithm are compared with previous works and the targets we extract manually. The experimental results show that the responses of our filter are close to the real action of the human in the original video.",
keywords = "background subtraction, motion detection, spatiotemporal sequences, video processing, video surveillance",
author = "Tong Zhang and Haixian Wang",
year = "2014",
doi = "10.1109/ICASSP.2014.6854422",
language = "English",
isbn = "9781479928927",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4344--4348",
booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",
address = "United States",
note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",
}