International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
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ATAC-Net: Adaptive Threshold and Accuracy Correction Network for Crowd Counting in Low-Light Surveillance Environments
| Author(s) | Ms. Roshini Nivada P, Ms. Jeevashri S, Ms. Kiruthika R, Prof. Bhavani P, Ms. Deepika V |
|---|---|
| Country | India |
| Abstract | Crowd density estimation plays a vital role in public safety and smart surveillance systems. However, traditional deep learning models face challenges in low-light conditions, high-density scenes, and static threshold limitations. |
| Keywords | Keywords: Crowd Density Estimation, ATAC-Net, CSRNet,AdaptiveThresholding, Night Surveillance, Deep Learning |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-03-31 |
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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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