By a News Reporter-Staff News Editor at China Weekly News -- New research on Image and Video Processing is the subject of a report. According to news reporting originating in Qingdao, People’s Republic of China, by VerticalNews journalists, research stated, “In this paper, a new method using level set is proposed for abnormal event detection and localization in video surveillance.”
Financial support for this research came from National Natural Science Foundation of China.
The news reporters obtained a quote from the research, “From an input video, five image descriptors, namely the color moments, the edge histogram descriptors, the color and edge directivity descriptors, the color layout descriptors, and the scalable color descriptors, are extracted for robust detection. We employ the local binary fitting model as the statistical learning model to update by the input videos in real time.”
According to the news reporters, the research concluded: “We performed experiments on the publicly available UCSD anomaly detection dataset and showed that our method has good performance for detecting and localizing abnormality compared to the state-of-the-art methods.”
For more information on this research see: Abnormal event detection and localization using level set based on hybrid features. Signal Image and Video Processing , 2018;12(2):255-261. Signal Image and Video Processing can be contacted at: Springer London Ltd, 236 Grays Inn Rd, 6TH Floor, London WC1X 8HL, England.
Our news correspondents report that additional information may be obtained by contacting K.W. Liu, Sinopec Safety Engn Inst, Qingdao 266071, People’s Republic of China. Additional authors for this research include J.H. Wan and Z.Z. Han.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s11760-017-1153-0. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-03-06), Reports Summarize Image and Video Processing Study Results from K.W. Liu and Co-Researchers (Abnormal event detection and localization using level set based on hybrid features), China Weekly News, 311, ISSN: 1945-5976, BUTTER® ID: 015274490
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