HUMAN CROWD COUNTING AND ANALYSIS
LAASYA SATYA SUNDARI EVANI
, KUSUMA KARETI , MANIKYALA SRI LEKHA , MADDIPATI SRI LASYA , M. SION KUMARI
Clustering, Human Crowd, Human Crowd Computation, Human Detection, OpenCV Library, Unsupervised Clustering, Image Recognition, Object Detection, Video Surveillance, K-Means Clustering.
The most accurate human crowd-counting program is what we recommend creating. The software should capture an image that the user manually uploads, a video that the user uploads, or a camera where the population needs to be monitored. The OpenCV library is used to train and create the machine learning algorithm, which counts the number of people in each frame of the input feed. TensorFlow is the developed application that can be used as a standalone application or can be integrated with the other existing applications by exposing an API interface. The method counts the number of people in each frame. Unsupervised clustering is proposed to be developed in this application since it needs less training and is more suited for picture recognition. The developed application can be used as a standalone application or can be integrated with the other existing applications by exposing an API interface.
"HUMAN CROWD COUNTING AND ANALYSIS", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.a799-a803, March-2023, Available :https://ijnrd.org/papers/IJNRD2303083.pdf
Volume 8
Issue 3,
March-2023
Pages : a799-a803
Paper Reg. ID: IJNRD_188332
Published Paper Id: IJNRD2303083
Downloads: 000118841
Research Area: Computer Engineering
Country: Visakhapatnam, Andhra Pradesh, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
