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

Internet

http://hdl.handle.net/10361/21922

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