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Video surveillance system configured to analyze complex behaviors using alternating layers of clustering and sequencing
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Classifier anomalies for observed behaviors in a video surveillance system
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Foreground object detection in a video surveillance system
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Foreground object tracking
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Unsupervised learning of temporal anomalies for a video surveillance system
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Visualizing and updating long-term memory percepts in a video surveillance system
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Visualizing and updating classifications in a video surveillance system
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Identifying anomalous object types during classification
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Clustering nodes in a self-organizing map using an adaptive resonance theory network
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Detecting anomalous trajectories in a video surveillance system
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Field-of-view change detection
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Scene preset identification using quadtree decomposition analysis
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Visualizing and updating learned trajectories in video surveillance systems
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Adaptive voting experts for incremental segmentation of sequences with prediction in a video surveillance system
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Visualizing and updating learned event maps in surveillance systems
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Inter-trajectory anomaly detection using adaptive voting experts in a video surveillance system
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Pixel-level based micro-feature extraction
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Visualizing and updating sequences and segments in a video surveillance system
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Mapper component for multiple art networks in a video analysis system
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Adaptive update of background pixel thresholds using sudden illumination change detection
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