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  Published Paper Details:

  Paper Title

UNUSUAL CROWD ACTIVITY DETECTION

  Authors

  Rohith V,  Dr. Vartika sharma,  Umme Hani,  Rathosth B

  Keywords

Action recognition, Motion influencer map, OpenCV, Crowd based Activity detection.

  Abstract


Unusual activities are dangerous in public areas as it may cause heavy causalities. As a solution for these various systems are developed based on video frame acquisition where motion or pedestrian detection occur but those systems are not intelligent enough to identify the unusual activities at real time. As it is required to recognize rush situation at real time from video surveillance for spontaneous reaction before any casualties. Proposed system is focused on recognizing suspicious activities and point to achieve a methodology which can detect unusual activity automatically using computer vision. Here the OpenCV library is used for classifying various kinds of action in real time. The motion analysis is detected by the motion influence map which frequently changes the positions. Pixel level presentation is used by the system for making it easy to understand or identify the actual situation.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205762

  Paper ID - 219855

  Page Number(s) - g552-g556

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Rohith V,  Dr. Vartika sharma,  Umme Hani,  Rathosth B,   "UNUSUAL CROWD ACTIVITY DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.g552-g556, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205762.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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