2023
DOI: 10.1007/978-3-031-25072-9_43
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Look at Adjacent Frames: Video Anomaly Detection Without Offline Training

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Cited by 4 publications
(1 citation statement)
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“…As shown in Table 3, traditional online anomaly detection solutions are limited to operating on videos with only a few abnormal frames. In order to break this limitation, the perceptron proposed in [53] was optimized online to reconstruct video frames pixel by pixel from their frequency information. Based on the movement of information between adjacent frames, the incremental learner updated the parameters of the multi-layer perceptron after observing each frame, thus allowing the detection of abnormal events along the video stream.…”
Section: Online Anomaly Detection Based On Deep Learningmentioning
confidence: 99%
“…As shown in Table 3, traditional online anomaly detection solutions are limited to operating on videos with only a few abnormal frames. In order to break this limitation, the perceptron proposed in [53] was optimized online to reconstruct video frames pixel by pixel from their frequency information. Based on the movement of information between adjacent frames, the incremental learner updated the parameters of the multi-layer perceptron after observing each frame, thus allowing the detection of abnormal events along the video stream.…”
Section: Online Anomaly Detection Based On Deep Learningmentioning
confidence: 99%