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PIDLNet: A Physics-Induced Deep Learning Network for Characterization of Crowd Videos.

, , , and . AVSS, page 1-8. IEEE, (2021)

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Characterization of Dense Crowd Using Gibbs Entropy., , and . CVIP (2), volume 704 of Advances in Intelligent Systems and Computing, page 289-300. Springer, (2017)Characterization of Orderly Behavior of Human Crowd in Videos Using Deep Learning., , and . IFIP TC12 ICIS, volume 623 of IFIP Advances in Information and Communication Technology, page 217-226. Springer International Publishing, (2020)Estimation of Linear Motion in Dense Crowd Videos using Langevin Model., , , and . CoRR, (2019)PIDLNet: A Physics-Induced Deep Learning Network for Characterization of Crowd Videos., , , and . AVSS, page 1-8. IEEE, (2021)Understanding Crowd Flow Movements Using Active-Langevin Model., , , and . CoRR, (2020)Understanding crowd flow patterns using active-Langevin model., , , and . Pattern Recognit., (2021)A Comparative Analysis on Edge Detection of Colloid Cyst: A Medical Imaging Approach., , and . Soft Computing Techniques in Vision Science, volume 395 of Studies in Computational Intelligence, Springer, (2012)Effect of Migrant Labourer Inflow on the Early Spread of Covid-19 in Odisha: A Case Study., , and . ACM Trans. Spatial Algorithms Syst., 8 (4): 27:1-27:18 (2022)A Real Time Fast Non-soft Computing Approach towards Leaf Identification., , , and . FICTA (1), volume 327 of Advances in Intelligent Systems and Computing, page 815-822. Springer, (2014)Segmentation and Visualization of Crowd Flows in Videos using Hybrid Force Model., , , and . VISIGRAPP (4: VISAPP), page 861-867. SCITEPRESS, (2020)