Inter-ministerial collaboration to utilize CCTV video service operated by U-City center of South Korea

Yoo, Ji Song; Min, Kyung Ju; Jeong, Seong Heon; Shin, Dong Bin

doi:10.1007/s41324-016-0040-z

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Choi et al highlighted CCTV’s significance for better police service 5 . They also studied CCTV-based intelligent security systems for constructing crime-zero zone 6 .…”

Section: Related Workmentioning

confidence: 99%

Gun identification from gunshot audios for secure public places using transformer learning

Nijhawan

Ansari

Kumar

et al. 2022

Sci Rep

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Increased mass shootings and terrorist activities severely impact society mentally and physically. Development of real-time and cost-effective automated weapon detection systems increases a sense of safety in public. Most of the previously proposed methods were vision-based. They visually analyze the presence of a gun in a camera frame. This research focuses on gun-type (rifle, handgun, none) detection based on the audio of its shot. Mel-frequency-based audio features have been used. We compared both convolution-based and fully self-attention-based (transformers) architectures. We found transformer architecture generalizes better on audio features. Experimental results using the proposed transformer methodology on audio clips of gunshots show classification accuracy of 93.87%, with training loss and validation loss of 0.2509 and 0.1991, respectively. Based on experiments, we are convinced that our model can effectively be used as both a standalone system and in association with visual gun-detection systems for better security.

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“…Choi et al highlighted CCTV’s significance for better police service 5 . They also studied CCTV-based intelligent security systems for constructing crime-zero zone 6 .…”

Section: Related Workmentioning

confidence: 99%