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The Imaging Science Journal Volume 65, 2017 - Issue 2
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Articles

Zero-stopping constraint-based hybrid tracking model for dynamic and high-dense crowd videos

M. KumarDepartment of Computer Engineering and Applications, GLA University, Mathura, IndiaCorrespondence[email protected]
&
C. BhatnagarDepartment of Computer Engineering and Applications, GLA University, Mathura, India
Pages 75-86 | Received 08 Dec 2015, Accepted 22 Nov 2016, Published online: 09 Mar 2017

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Juginder Pal Singh & Manoj Kumar. (2022) Chaotic whale-atom search optimization-based deep stacked auto encoder for crowd behaviour recognition. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-25.
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Articles from other publishers (6)

Juginder Pal Singh & Manoj Kumar. (2023) Chronological ant lion optimizer-based deep convolutional neural network for panic behavior detection in crowded scenes. Multimedia Tools and Applications 82:21, pages 32373-32396.
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Juginder Pal Singh. 2022. Advances in Computational Intelligence and Communication Technology. Advances in Computational Intelligence and Communication Technology 325 333 .
Lina Li. (2020) A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis. Complexity 2020, pages 1-14.
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Habib Ullah, Mohib Ullah & Muhammad Uzair. (2018) A hybrid social influence model for pedestrian motion segmentation. Neural Computing and Applications 31:11, pages 7317-7333.
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Habib Ullah, Ahmed B. Altamimi, Muhammad Uzair & Mohib Ullah. (2018) Anomalous entities detection and localization in pedestrian flows. Neurocomputing 290, pages 74-86.
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Kumar Manoj & Bhatnagar Charul. (2017) Hybrid tracking model and GSLM based neural network for crowd behavior recognition. Journal of Central South University 24:9, pages 2071-2081.
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