Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras

Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Detaylı Bibliyografya
Asıl Yazarlar:	Rukaiya, Maymuna, Khan Soumik, Md. Muhtadee Faiaz, Sakib, Sazzad Hossan, Islam, Md. Ashikul, Ishrak, Mohammad Farhan
Diğer Yazarlar:	Rhaman, Dr. Md. Khalilur
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2023
Konular:	Human detection Machine learning YOLO v7 Faster R-CNN Bangla speech recognition Thermal image Primary dataset Machine learning. Artificial intelligence.
Online Erişim:	http://hdl.handle.net/10361/21922

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