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This work introduces concepts and algorithms along with a case study validating them, to enhance the event detection, pattern recognition and anomaly ...
Abstract—This work introduces concepts and algorithms along with a case study validating them, to enhance the event detection, pattern recognition and ...
Dynamic clustering for event detection and anomaly identification in video surveillance · R. Rupasinghe, D. A. Padmasiri, +3 authors. J. Wijayakulasooriya ...
Mar 30, 2024 · In this paper, we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the ...
Jun 10, 2024 · Video anomaly can be detected by using stationary cameras (e.g surveillance systems) and dynamic cameras (e.g vehicle dashboard cameras).
Missing: identification | Show results with:identification
Oct 22, 2024 · We propose a non-parametric hierarchical event model to perform online anomaly detection in videos. A dynamic exemplar set is first used to ...
May 24, 2023 · The essential idea is to first learn normal patterns from training videos, then extract representations of normal cases. If any events deviate ...
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5 days ago · Anomaly detection systems are designed to identify anomalies in video ... Online detection of unusual events in videos via dynamic sparse coding.
Oct 7, 2023 · This paper introduces a novel two-stream fusion algorithm for abnormal event detection to address these diverse abnormal events better.
Jun 25, 2022 · A comprehensive review of the different developed event detection systems. We start our discussion with the pioneering methods that used the TRECVid-SED ...