Identifying human activities in megastores through postural data to monitor shoplifting events-Reference-Cited by-同舟云学术

Identifying human activities in megastores through postural data to monitor shoplifting events

Published:2022-11-22 Issue:9 Volume:35 Page:6515-6528
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ansari Mohd. Aquib^ORCID,Singh Dushyant Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-08028-0.pdf

Reference20 articles.

1. Deccan Herald (2019) Retail chains battle shoplifting. https://www.deccanherald.com/metrolife/retail-chains-battle-shoplifting-722520.html. Accessed 22 Oct 2021

2. Arroyo R, Yebes JJ, Bergasa LM, Daza IG, Almazán J (2015) Expert video-surveillance system for real-time detection of suspicious behaviours in shopping malls. Expert Syst Appl 42(21):7991–8005

3. Martínez-Mascorro GA, Abreu-Pederzini JR, Ortiz-Bayliss JC, Garcia-Collantes A, Terashima-Marín H (2021) Criminal intention detection at early stages of shoplifting cases by using 3D convolutional neural networks. Computation 9(2):24

4. Ansari MA, Singh DK (2022) An expert eye for identifying shoplifters in mega stores. In: International conference on innovative computing and communications, pp 107–115

5. Beddiar DR, Nini B, Sabokrou M, Hadid A (2020) Vision-based human activity recognition: a survey. Multimed Tools Appl 79(41):30509–30555

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