Guest Editorial - Special Issue: Video Analytics

@Article {
title = {Guest Editorial - Special Issue: Video Analytics},
journal = {IET Computer Vision},
pages = {235-236},
number = {4},
volume = {10},
keywds = {

Video Analytics

}
abstract = {

As digital technologies advance, video has become ubiquitous and hence a rich source of information. Video analytics (or video content analysis) is an important area of computer vision which is concerned with the process of making sense of video content in order to ultimately understand video. Video analytics appears in different forms, such as activity recognition, motion detection, object detection and recognition, person detection and recognition, event and scenario recognition, anomaly detection and identity recognition and verification. Video analytics can be applied in a wide range of domains including healthcare, retail, transport, smart homes, safety and security.
The aim of this Special Issue is to raise the awareness of the importance of video analytics. The specific objectives are: (1) to report the latest developments; (2) to identify major research challenges and; (3) to provide visions of future development. A total of 21 papers were submitted to this Special Issue including invited papers and, following a rigorous peer-review process, a total of 11 papers were accepted for inclusion in this Special Issue.

}
isi = {1},
doi = {10.1049/iet-cvi.2016.0102},
date = {2016-06-01},
year = {2016},
}