A pipeline that converts body-worn camera footage into labeled visual timelines by classifying 10-second windows along operational-context and motion-intensity axes using CLIP and optical-flow features.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A symbolic system extracts events from 450 property crime reports, with 54.1% high-confidence outputs, 93.7% mapped via PropBank-VerbNet-WordNet, and 100% human agreement on incident initiation, stolen items, and temporal cues.
citing papers explorer
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Visual Timelines of Police Encounters in Body-Worn Camera Footage: Operational Context and Activity Cataloging for Training and Analysis in OpenBWC
A pipeline that converts body-worn camera footage into labeled visual timelines by classifying 10-second windows along operational-context and motion-intensity axes using CLIP and optical-flow features.
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Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports
A symbolic system extracts events from 450 property crime reports, with 54.1% high-confidence outputs, 93.7% mapped via PropBank-VerbNet-WordNet, and 100% human agreement on incident initiation, stolen items, and temporal cues.