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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
SINGLE CONVOLUTIONAL NEURAL NETWORK WITH THREE LAYERS MODEL FOR CROWD DENSITY ESTIMATION
Authors
Prashanth K, Hemanth Kumar, Praveen H, Srikanth U, D Umesh
Keywords
Crowd,count,camera
Abstract
Crowd counting is an important part of automated public monitoring, when it is necessary to count the number of individuals in a picture. A machine learning algorithm that might forecast crowd numbers is what we hope to implement. Crowd counting is an active research area within scene analysis, and has various applications such as crowd control, customer management, and urban planning. Reliable people counting and human detection is an important problem in visual surveillance, and solutions have restrictions such as people must be moving, the background must be simple, or the image resolution must be high. Humans perceive images through color, shape, size, and texture. A vision system that monitors activity over extended periods of time is described, and a neural based crowd estimation system is presented for surveillance in complex scenes. Surveillance systems for public security are going beyond CCTV.
IJCRT's Publication Details
Unique Identification Number - IJCRT2305137
Paper ID - 235605
Page Number(s) - b25-b27
Pubished in - Volume 11 | Issue 5 | May 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Prashanth K, Hemanth Kumar, Praveen H, Srikanth U, D Umesh, "SINGLE CONVOLUTIONAL NEURAL NETWORK WITH THREE LAYERS MODEL FOR CROWD DENSITY ESTIMATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.b25-b27, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305137.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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