[
1. Arroyo, R., J. J. Yebes, L. M. Bergasa, I. G. Daza, J. Almazán. Expert Video-Surveillance System for Real-Time Detection of Suspicious Behaviors in Shopping Malls. – Expert Systems with Applications, Vol. 42, 2015, No 21, pp. 7991-8005.10.1016/j.eswa.2015.06.016
]Search in Google Scholar
[
2. Ansari, M. A., D. K. Singh. An Expert Eye for Identifying Shoplifters in Mega Stores. – In: Proc. of International Conference on Innovative Computing and Communications (ICICC’21), Vol. 3, (Vol. 1394, p. 107), August 2021, Springer Nature.10.1007/978-981-16-3071-2_10
]Search in Google Scholar
[
3. NRF. National Retail Security Survey. National Retail Federation, Washington, DC, USA, 2020.
]Search in Google Scholar
[
4. The Global Retail Theft Barometer. 2015.
]Search in Google Scholar
[
5. Rankin, G. C. The Indian Penal Code. – LQ Rev., Vol. 60, 1944, No 37.
]Search in Google Scholar
[
6. Singh, D. K. Human Action Recognition in Video. – In: Proc. of International Conference on Advanced Informatics for Computing Research, Singapore, Springer, July 2018, pp. 54-66.10.1007/978-981-13-3140-4_6
]Search in Google Scholar
[
7. Li, C., R. Tong, M. Tang. Modelling Human Body Pose for Action Recognition Using Deep Neural Networks. – Arabian Journal for Science & Engineering (Springer Science & Business Media BV), Vol. 43, 2018, No 12.10.1007/s13369-018-3189-z
]Search in Google Scholar
[
8. Kumar, K. S., R. Bhavani. Human Activity Recognition in Egocentric Video Using HOG, GiST and Color Features. – Multimedia Tools and Applications, Vol. 79, 2020, No 5, pp. 3543-3559.10.1007/s11042-018-6034-1
]Search in Google Scholar
[
9. Rashwan, H. A., M. A. Garcia, S. Abdulwahab, D. Puig. Action Representation and Recognition through Temporal Co-Occurrence of Flow Fields and Convolutional Neural Networks. – Multimedia Tools and Applications, Vol. 79, 2020, No 45, pp. 34141-34158.10.1007/s11042-020-09194-w
]Search in Google Scholar
[
10. Kushwaha, A., A. Khare, M. Khare. Human Activity Recognition Algorithm in Video Sequences Based on Integration of Magnitude and Orientation Information of Optical Flow. – International Journal of Image and Graphics, 2021. 2250009.10.1142/S0219467822500097
]Search in Google Scholar
[
11. Singh, D. K., D. S. Kushwaha. Tracking Movements of Humans in a Real-Time Surveillance Scene. – In: Proc. of 5th International Conference on Soft Computing for Problem Solving, Singapore, Springer, 2016, pp. 491-500.10.1007/978-981-10-0451-3_45
]Search in Google Scholar
[
12. Donahue, J., L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, T. Darrell. Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. – In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 2625-2634.10.1109/CVPR.2015.7298878
]Search in Google Scholar
[
13. Ladjailia, A., I. Bouchrika, H. F. Merouani, N. Harrati, Z. Mahfouf. Human Activity Recognition via Optical Flow: Decomposing Activities into Basic Actions. – Neural Computing and Applications, Vol. 32, 2020, No 21, pp. 16387-16400.10.1007/s00521-018-3951-x
]Search in Google Scholar
[
14. Jayaswal, R., M. Dixit. A Framework for Anomaly Classification Using Deep Transfer Learning Approach. – Revue d’Intelligence Artificielle, Vol. 35, 2021, No 3, pp. 255-263. https://doi.org/10.18280/ria.35030910.18280/ria.350309
]Search in Google Scholar
[
15. Yamato, Y., Y. Fukumoto, H. Kumazaki. Proposal of Shoplifting Prevention Service Using Image Analysis and ERP Check. – IEEJ Transactions on Electrical and Electronic Engineering, Vol. 12, 2017, pp. S141-S145.10.1002/tee.22427
]Search in Google Scholar
[
16. Hido, S., S. Tokui, S. Oda. Jubatus: An Open Source Platform for Distributed Online Machine Learning. – In: NIPS 2013 Workshop on Big Learning, Lake Tahoe, December 2013.
]Search in Google Scholar
[
17. Martínez-Mascorro, G. A., J. R. Abreu-Pederzini, J. C. Ortiz-Bayliss, A. Garcia-Collantes, H. Terashima-Marín. Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks. – Computation, Vol. 9, 2021, No 2.10.3390/computation9020024
]Search in Google Scholar
[
18. Singh, D. K., S. Paroothi, M. K. Rusia, M. A. Ansari. Human Crowd Detection for City Wide Surveillance. – Procedia Computer Science, Vol. 171, 2020, pp. 350-359.10.1016/j.procs.2020.04.036
]Search in Google Scholar
