A novel face recognition model for fighting against human trafficking in surveillance videos and rescuing victims.

Autor: Karpagam, M., Jeyavathana, R. Beaulah, Chinnappan, Sathiya Kumar, Kanimozhi, K. V., Sambath, M.
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Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Sep2023, Vol. 27 Issue 18, p13165-13180, 16p
Abstrakt: The trade of humans aimed at the intention of forced labor, sexual slavery, commercial sexual slavery, or else others is termed human trafficking (HT). It happens inside a nation or else trans-nationality. Victims of trafficking may be of whichever age and gender. Herein, the face recognition (FR) design to fight against HT is propounded centred on surveillance videos aimed at rescuing the victims. Initially, the missing persons' image is gathered as of the police department and then undergoes pre-processing. In the pre-processing phase, filtering (Gaussian filter (GF)) is executed to eradicate the noise existent in the image, and contrast enhancement (IMF-CLAHE) is done to acquire the contrast-enhanced image (EI). Next, in the image, the face is identified utilizing Viola–Jones algorithm (VJA). Then, feature extraction (FE) occurs; after that dimensionality reduction utilizing P7SKLDA is executed. The dimensionality reduced features are then inputted into the MDBN classifier to recognize the person. After performing FR on the inputted data, FR is executed on the surveillance videos by transforming the videos to frames. Lastly, motion estimation utilizing the Horn–Schunck Optical flow (HSOF) methodology is utilized to enumerate the relative motion betwixt surveillance videos' frames aimed at detecting the location of the missing one's trafficking. Lastly, the proposed design's performance is analogized with the existent methodologies to deduce this methodology's superiority. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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