Crime classification and synthesis leveraging CNN architectures for enhanced crime analysis
*Udit HasijaCorresponding authorudithasija1712@gmail.comDepartment of Computer Science and EngineeringBharati Vidyapeeth’s College of EngineeringNew Delhi, 110063, IndiaView full profile → , Mahima Rohilamahimarohila600@gmail.comDepartment of Computer Science and EngineeringBharati Vidyapeeth’s College of EngineeringNew Delhi, 110063, IndiaView full profile → , Animesh Kumari.animesh001@gmail.comDepartment of Computer Science and EngineeringBharati Vidyapeeth’s College of EngineeringNew Delhi, 110063, IndiaView full profile → , Dharmender Sainidharmender.saini@bharatividyapeeth.eduDepartment of Computer Science and EngineeringBharati Vidyapeeth’s College of EngineeringNew Delhi, 110063, IndiaView full profile → , Preeti Nagrathpreeti.nagrath@bharatividyapeeth.eduDepartment of Computer Science and EngineeringBharati Vidyapeeth’s College of EngineeringNew Delhi, 110063, IndiaView full profile → , Sushil Kumarsushilkumar16n@gmail.comDepartment of Applied SciencesBharati Vidyapeeth’s College of EngineeringNew Delhi, 110063, IndiaView full profile → , Mauro Zannettimauro.zannetti@univaq.itDepartment of Industrial & Information Engineering and EconomicsUniversity of L’AquilaL’Aquila, I-67100, ItalyView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 07 Aug 2024
- Published Online:
- 19 Feb 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1867
- Pages:
- 233–242
Abstract
Keywords
Subject Classifications
References
[1] S. S. Bhandari, S. Dhoke, and O. Sarang, “Smart Video Surveillance Using YOLO Algorithm and OpenCV,” IJCSN - International Journal of Computer Science and Network, vol. 9, no. 2, pp. 1–6, Apr. (2020).
[2] A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” in Advances in Neural Information Processing Systems 25 (NIPS 2012), pp. 1–9.
[3] K. Dong and Y. Ruan, “MobileNetV2 Model for Image Classification,” (2020).
[4] C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, “Going deeper with convolutions,” Sep. 17 (2014).
[5] C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, “Rethinking the Inception Architecture for Computer Vision,” Dec. 11 (2015).
[6] M. H. Abid, R. Ashraf, T. Mahmood, and C. M. N. Faisal, “Multi-modal medical image classification using deep residual network and genetic algorithm,” Jun. 29 (2023).
[7] T. Chauhan, H. Palivela, and S. Tiwari, “Optimization and fine-tuning of DenseNet model for classification of COVID-19 cases in medical imaging,” Apr. (2021).
[8] G. Huang, Z. Liu, L. van der Maaten, and K. Q. Weinberger, “Densely Connected Convolutional Networks,” Jan. 8 (2018).
[9] T. Kaur and T. K. Gandhi, “Automated brain image classification based on VGG-16 and transfer learning,” Mar. 12 (2020).
[10] B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le, “Learning Transferable Architectures for Scalable Image Recognition,” Apr. 1 (2018).
[11] P. Bhoyar, A. Butley, S. Dhole, N. Joshi, and A. Rumale, “Intelligent Video Surveillance using YOLO Object Detection,” International Journal of Creative Research Thoughts (IJCRT), vol. 9, no. 11, Nov. (2021), ISSN: 2320-2882.
[12] Sutrisno Ibrahim, “A comprehensive review on intelligent surveillance systems”, Communications in Science and technology 1 (2016)
[13] S. Ibrahim, “A comprehensive review on intelligent surveillance systems,” Communications in Science and Technology, vol. 1 (2016).
[14] P. Singh and V. Pankajakshan, “A deep learning-based technique for anomaly detection in surveillance videos,” in 2018 Twenty Fourth National Conference on Communications (NCC), IEEE (2018).
[15] A. K. Das, S. Deb, S. Chatterjee, B. Chatterjee, and S. Dalai, “Convolutional neural network and Bi-directional long short memory hybrid deep network aided infrared image classification framework for non-contact monitoring of overhead insulators.”
[16] S. Shin, M. Kang, G. Zhang, J. Jung, and Y. T. Kim, “Lightweight Ensemble Network for Detecting Heart Disease Using ECG Signals,” Applied Sciences (2022).
[17] N. Hassan, A. S. M. Miah, and J. Shin, “A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning-Based Feature Extraction for Dynamic Human Activity Recognition,” Applied Sciences (2024).
[18] P. Tarnowski, M. Kołodziej, A. Majkowski, and R. J. Rak, “Emotion recognition using facial expressions,” Dec. (2017).
[19] Q. Zhu, H. Zhuang, M. Zhao, S. Xu, and R. Meng, “A Study on Expression Recognition Based on Improved MobileNetV2 Network,” Jan. 29 (2024).
[20] A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam, “MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications,” Apr. 17 (2017).




