Cite this DOI

Kadam, P., Gawande, S., & Thorat, A. (2021). Suspicious Activity Detection using Image Processing. *Journal of Science & Technology*, *06*(01), 114–119. https://doi.org/10.46243/jst.2021.v6.i04.pp114-119

@article{kadam2021suspicious,
  author    = {Kadam, Phalguni and Gawande, Shweta and Thorat, Akshita},
  title     = {{Suspicious Activity Detection using Image Processing}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {01},
  pages     = {114--119},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i04.pp114-119},
  url       = {https://doi.org/10.46243/jst.2021.v6.i04.pp114-119},
  language  = {en},
  abstract  = {Nowadays, video surveillance is used almost everywhere for security. The traditional method of monitoring cameras requires constant human intervention. Using Deep Learning and Image Processing, the proposed work aims to eliminate time and effort wasted on monitoring video surveillance cameras. Predicting human behavior is almost impossible. Deep Learning is used to detect suspicious and non-suspicious activity and to warn the user if any suspicious activity is detected. The proposed system strives for the detection of real-world suspicious activities such as burglaries, assaults etc. in surveillance videos.}
}

TY  - JOUR
TI  - Suspicious Activity Detection using Image Processing
AU  - Kadam, Phalguni
AU  - Gawande, Shweta
AU  - Thorat, Akshita
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/16/
VL  - 06
IS  - 01
SP  - 114
EP  - 119
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Nowadays, video surveillance is used almost everywhere for security. The traditional method of monitoring cameras requires constant human intervention. Using Deep Learning and Image Processing, the proposed work aims to eliminate time and effort wasted on monitoring video surveillance cameras. Predicting human behavior is almost impossible. Deep Learning is used to detect suspicious and non-suspicious activity and to warn the user if any suspicious activity is detected. The proposed system strives for the detection of real-world suspicious activities such as burglaries, assaults etc. in surveillance videos.
DO  - 10.46243/jst.2021.v6.i04.pp114-119
UR  - https://doi.org/10.46243/jst.2021.v6.i04.pp114-119
ER  -

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    "id": "10.46243/jst.2021.v6.i04.pp114-119",
    "DOI": "10.46243/jst.2021.v6.i04.pp114-119",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i04.pp114-119",
    "title": "Suspicious Activity Detection using Image Processing",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "given": "Phalguni"
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        "date-parts": [
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Nowadays, video surveillance is used almost everywhere for security. The traditional method of monitoring cameras requires constant human intervention. Using Deep Learning and Image Processing, the proposed work aims to eliminate time and effort wasted on monitoring video surveillance cameras. Predicting human behavior is almost impossible. Deep Learning is used to detect suspicious and non-suspicious activity and to warn the user if any suspicious activity is detected. The proposed system strives for the detection of real-world suspicious activities such as burglaries, assaults etc. in surveillance videos.",
    "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.2021.v6.i04.pp114-119 gives all four in one JSON answer.