Low-light Environment Neural Surveillance
| Autor: | Noah Lichtenstein, Michael Potter, Kevin Hines, Henry Gridley, John Nguyen, Jacob Walsh |
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| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning Computer science Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition Cloud computing 010501 environmental sciences Computer security computer.software_genre 01 natural sciences law.invention Machine Learning (cs.LG) Set (abstract data type) I.4.9 I.5.4 Relay law 0502 economics and business Crime scene 050207 economics 0105 earth and related environmental sciences business.industry 05 social sciences Law enforcement Support vector machine User interface business computer Crime detection |
| Zdroj: | MLSP |
| DOI: | 10.48550/arxiv.2007.00843 |
| Popis: | We design and implement an end-to-end system for real-time crime detection in low-light environments. Unlike Closed-Circuit Television, which performs reactively, the Low-Light Environment Neural Surveillance provides real time crime alerts. The system uses a low-light video feed processed in real-time by an optical-flow network, spatial and temporal networks, and a Support Vector Machine to identify shootings, assaults, and thefts. We create a low-light action-recognition dataset, LENS-4, which will be publicly available. An IoT infrastructure set up via Amazon Web Services interprets messages from the local board hosting the camera for action recognition and parses the results in the cloud to relay messages. The system achieves 71.5% accuracy at 20 FPS. The user interface is a mobile app which allows local authorities to receive notifications and to view a video of the crime scene. Citizens have a public app which enables law enforcement to push crime alerts based on user proximity. Comment: Pre-print, accepted to IEEE International Workshop on Machine Learning for Signal Processing 2020 Conference Proceedings. Code and dataset are available at https://github.com/mcgridles/ |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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