Face, Expression and Gesture Recognition and Compilation in Database Using Machine Learning
DOI:
https://doi.org/10.32628/IJSRST222938Keywords:
Artificial Intelligence, Machine Learning, OpenCV, CCTV, OpenFace, LSTM, YOLOV3Abstract
In today's scenario, numbers of crimes have increased day by day. At many public places government has placed many CCTV cameras so police can get that CCTV footage to identify the suspects but sometimes it becomes difficult to recognize the criminals So here we have come up with a solution to make this process smooth, easier than the traditional one. The system which automates all the suspect recognition process and provides better solutions to reduce the increasing rate of crimes. We plan to design a system to capture face, expressions and gestures of the targeted people (Criminals) through distributed CCTV System and are maintaining it in a database along with time and location stamp. The compiled database will be used to identify suspects from video clips of crime related CCTV footage captured series of CCTV Systems located on routes and close to scene of crime. This research discusses the various types of methodologies that can be used to identify the suspects which are captured in CCTV footage and convert it into useful information for further analysis of particular crime cases.
References
- M. Owayjan., R. Achkar. and M. Iskandar.: Face De-tection with Expression Recognition using Artificial NeuralNetworks. 3rd Middle East Conference on Bi-omedical En-gineering (MECBME), Beirut. IEEE MECBME, 115—119(2016).
- J. Jayalekshmi and T. Mathew, Facial expression recog-nition and emotion classifi-cation system for sentiment analy-sis, 2017 International Conference on Networks & Advancesin Computational Technologies (NetACT), Thiruvanthapuram,India, 2017, pp. 1-8.
- N.Paragios, (2018) Computer vision and understanding. Vol 116. pp 102-114.
- Guojen Wen, Zhiwei Tong, et.al, (2009), Man machine interaction in machining center. International workshop on intelligent systems and applications. pp 1-4.
- S.D. Bharkad, et.al. (2017). international conference on computing methodologies and communication, pp 1151-1155.
- Nadhir Ben Halima and Osama Hosam. 2016. Bag of Words Based SurveillanceSystem Using Support Vector Machines. 10 (04 2016), 331–346.
- D. M. Sheen, D. L. McMakin, and T. E. Hall. 2001. Three-dimensional millimeter-wave imaging for concealed weapon detection.IEEE Transactions on MicrowaveTheory and Techniques49, 9 (Sep 2001), 1581–1592. https://doi.org/10.1109/22.942570
- S. Song and J. Xiao, “Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines,”Princeton University Proceedings of 14th IEEE International Conference on Computer Vision (ICCV2013)
- UCLA database http://users.eecs.northwestern.edu/~jwa368/
Downloads
Published
Issue
Section
License
Copyright (c) IJSRST

This work is licensed under a Creative Commons Attribution 4.0 International License.