Cite this DOI

KarthikRKrishna, VishakSS, & VyshnaviCV (2024). REALTIMEVIOLENCEDETECTION. *Journal of Science & Technology*, *09*(04), 131–135. https://doi.org/10.46243/jst.2024.v9.i4.pp131-135

@article{karthikrkrishna2024realtimeviolencedetection,
  author    = {KarthikRKrishna and VishakSS and VyshnaviCV},
  title     = {{REALTIMEVIOLENCEDETECTION}},
  journal   = {Journal of Science \& Technology},
  year      = {2024},
  month     = {apr},
  volume    = {09},
  number    = {04},
  pages     = {131--135},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2024.v9.i4.pp131-135},
  url       = {https://doi.org/10.46243/jst.2024.v9.i4.pp131-135},
  language  = {en},
  abstract  = {Real-timeviolencedetectionhasbecomeincreasinglyessentialintoday'ssecurityandsurveillancesystems.Thispaperproposesanovelapproachutilizingadvancedcomputervisiontechniquesandmachinelearningalgorithmsforthereal-timedetectionofviolentbehaviorinvideostreams.Byextractingkey features such as motion patterns, body poses, and spatial relationships, coupled with deep learningmodels for classification, our system achieves high accuracy and efficiency in identifying violent acts asthey occur. The proposed framework offers promising potential for enhancing public safety, facilitatingtimelyinterventions,andmitigatingpotentialthreatsinvariousreal-worldscenarios.}
}

TY  - JOUR
TI  - REALTIMEVIOLENCEDETECTION
AU  - KarthikRKrishna
AU  - VishakSS
AU  - VyshnaviCV
JO  - Journal of Science & Technology
PY  - 2024
DA  - 2024/04/29/
VL  - 09
IS  - 04
SP  - 131
EP  - 135
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Real-timeviolencedetectionhasbecomeincreasinglyessentialintoday'ssecurityandsurveillancesystems.Thispaperproposesanovelapproachutilizingadvancedcomputervisiontechniquesandmachinelearningalgorithmsforthereal-timedetectionofviolentbehaviorinvideostreams.Byextractingkey features such as motion patterns, body poses, and spatial relationships, coupled with deep learningmodels for classification, our system achieves high accuracy and efficiency in identifying violent acts asthey occur. The proposed framework offers promising potential for enhancing public safety, facilitatingtimelyinterventions,andmitigatingpotentialthreatsinvariousreal-worldscenarios.
DO  - 10.46243/jst.2024.v9.i4.pp131-135
UR  - https://doi.org/10.46243/jst.2024.v9.i4.pp131-135
ER  -

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    "URL": "https://doi.org/10.46243/jst.2024.v9.i4.pp131-135",
    "title": "REALTIMEVIOLENCEDETECTION",
    "source": "Smart Scholars DOI Registry",
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    "author": [
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    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2024.v9.i4.pp131-135 gives all four in one JSON answer.