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Abnormality Detection Using LBP Features and K-Means Labelling based Feed-Forward Neural Network in Video Sequence
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Video surveillance is widely used in various domains like military, commercial and consumer areas. One of the objectives in video surveillance is the detection of normal and abnormal behavior.It has always been a challenge to accurately identify such events in any real time video sequence. In this paper, abnormality detection method using Local Binary Pattern and k-means labeling basedfeed-forward neural network has been proposed. The performance of the proposed method has also been compared
doi:10.35940/ijitee.i1100.0789s19
fatcat:chkhinwjjjd7zojpqgpmgenf6y