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Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0961-8
Abstract: In this paper, we propose a joint learning of spatio-temporal representation based on 3D deep convolutional neural network for simultaneous representation of appearance and motion information in 3D volumes which are extracted from the multiple…
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Keywords:
appearance;
event detection;
joint learning;
event ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3126819
Abstract: Abnormal event detection with the lowest latency is an indispensable function for safety-critical systems, such as cyber defense systems. However, as systems become increasingly complicated, conventional sequential event detection methods become less effective, especially when…
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Keywords:
event detection;
detection;
zero bias;
abnormal event ... See more keywords
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Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2572609
Abstract: Abnormal event detection is now a challenging task, especially for crowded scenes. Many existing methods learn a normal event model in the training phase, and events which cannot be well represented are treated as abnormalities.…
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Keywords:
detection;
detector;
statistical hypothesis;
event ... See more keywords
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Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3074805
Abstract: Abnormal event detection is a complex computer vision problem that has attracted significant attention in recent years. Its complexity arises from the commonly-adopted definition of an abnormal event, that is, a rarely occurring event that…
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Keywords:
background agnostic;
agnostic framework;
abnormal event;
event detection ... See more keywords