A high-performance real-time pipeline for detecting, tracking, and analyzing people in video streams. Achieves ≥25 FPS processing with comprehensive analytics including age and gender estimation.
Abstract: Face recognition, a dependable biometric technology, utilizes facial information to verify an individual's identity. In the field of research, the emphasis of face recognition has been on ...
Stage-1 Generation: The code in this stage is mainly built on the PyTorch framework. Specifically, it requires PyTorch version 1.10.0 or later, along with the ...
Abstract: Automatic human face detection and counting can play a vital role in the recognition and tracking of infant and adult faces in both outdoor and indoor human surveillance applications and ...
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