We introduce OmniEye, a multimodal video intelligence system for law-enforcement training and review (source code available on request to verified law-enforcement and public-safety agencies). OmniEye ingests body-worn camera footage and perceives every 30-second window jointly across video and audio with one multimodal...
Mamadou K. Keita, Angela Srbinovska, Anita Srbinovska et al.· 0 citations
This research presents a framework for adapting the OpenAI Whisper architecture to the unique acoustic and linguistic challenges of the policing environment by employing Parameter-Efficient Fine-Tuning (PEFT) through Low-Rank Adaptation (LoRA), and addresses the significant performance degradation observed in zero-shot...
V. Senthil, Zhiqiang Tao, Ernest Fokoué· arXiv.org· 0 citations
A novel interdisciplinary framework for analyzing police body-worn camera (BWC) footage from the Rochester Police Department using advanced artificial intelligence (AI) and statistical machine learning (ML) techniques to identify key behavioral dynamics, such as respect, disrespect, escalation, and de-escalation.
Anita Srbinovska, Angela Srbinovska, V. Senthil et al.· arXiv.org· 9 citations
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