Artificial Intelligence Driven Human Identification
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 43
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شناسه ملی سند علمی:
JR_JITM-15-3_008
تاریخ نمایه سازی: 5 شهریور 1402
چکیده مقاله:
Human Identification has been widely implemented to enhance the efficiency of surveillance systems, however, systems based on common CCTV (closed-circuit television) cameras are mostly incompatible with the advanced identification algorithms which aim to extract the facial features or speech of an individual for identification. Gait (i.e., an individual’s unique walking pattern/style) is a leading exponent when compared to first-generation biometric modalities as it is unobtrusive (i.e., it requires no contact with the individual), hence proving gait to be an optimal solution to human identification at a distance.This paper proposes an automatic identification system that analyzes gait to identify humans at a distance and predicts the strength of the match (i.e., probability of the match being positive) between two gait profiles. This is achieved by incorporating computer vision, digital image processing, vectorization, artificial intelligence, and multi-threading. The proposed model extracts gait profiles (from low-resolution camera feeds) by breaking down the complete gait cycle into four quarter-cycles using the variations in the width of the region-of-interest and then saves the gait profile in the form of four distinct projections (i.e., vectors) of length ۲۰ units each, thus, summing up to ۸۰ features for each individual’s gait profile. The focus of this study revolved around the speed-accuracy tradeoff of the proposed model where, with a limited dataset and training, the model runs at a speed of ۳۰Hz and yields ۸۵% accurate results on average. A Receiver Operating Characteristic Curve (ROC) is obtained for comparison of the proposed model with other machine learning models to better understand the efficiency of the system
کلیدواژه ها:
نویسندگان
Sharma
Department of Information Technology, Amity University Uttar Pradesh – Noida, India
Imran Khan
Department of Information Technology, Amity University Uttar Pradesh – Noida, India.
Jain
Department of Information Technology, Amity University Uttar Pradesh – Noida, India.
Srivastava
Department of Information Technology, Amity University Uttar Pradesh – Noida, India.
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