Temporal multi-frame validation around concurrent CV detectors cuts fire false alarms from 52% to 4% and lifts video plate exact-match from 66.7% to 81.8% at real-time latency on one commodity GPU.
Object detection binary classifiers methodology based on deep learning to identify small objects handled similarly: application in video surveillance,
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A Multi-Task Deep Learning Framework for Real-Time Intelligent Video Surveillance with Temporal Event Validation
Temporal multi-frame validation around concurrent CV detectors cuts fire false alarms from 52% to 4% and lifts video plate exact-match from 66.7% to 81.8% at real-time latency on one commodity GPU.