A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Abnormal Event Detection and Localization in a Video based on Similarity Structure
MODARES JOURNAL OF ELECTRICAL ENGINEERING
This paper introduces a method for abnormal event detection in video. The video is divided into a set of cubic patches. A new descriptor for representing the video patches is proposed. This descriptor is created based on the structure similarity between a patch and nine neighboring patches of it. All training normal patches in respect to the proposed descriptor are represented and then modeled using a Gaussian distribution as the reference model. In test phase, those patches which are notfatcat:f2bzamrembettcsolfl4wfxu4u