2021
DOI: 10.5753/eniac.2021.18261
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Detection of weapon possession and fire in Public Safety surveillance cameras

Abstract: The employment of video surveillance cameras by public safety agencies enables incident detection in monitored cities by using object detection for scene description, enhancing the protection to the general public. Object detection has its drawbacks, such as false positives. Our work aims to enhance object detection and image classification by employing IoU (Intersection over Union) to minimize the false positives and identify weapon holders or fire in a frame, adding more information to the scene.

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Cited by 1 publication
(4 citation statements)
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References 14 publications
(18 reference statements)
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“…As one possible explanation for this result, BRACIS publications emphasize technical aspects and contributions. Many resort to available online databases, artificial or not, for training models or other experiments, as in [Moura et al 2021, Nunes et al 2013]. Among the 42 results of the wide screening, 21 (50%) show involvement or participation of human beings.…”
Section: Resultsmentioning
confidence: 99%
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“…As one possible explanation for this result, BRACIS publications emphasize technical aspects and contributions. Many resort to available online databases, artificial or not, for training models or other experiments, as in [Moura et al 2021, Nunes et al 2013]. Among the 42 results of the wide screening, 21 (50%) show involvement or participation of human beings.…”
Section: Resultsmentioning
confidence: 99%
“…USP figuring in three of the nine papers [dos Santos and Paraboni 2019, Pavan et al 2020, Gonc ¸alves and Cozman 2021. UFBA is involved in two, both with explicit and provocative social critical content [Ferreira et al 2021, Moura et al 2021].…”
Section: Resultsmentioning
confidence: 99%
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