Browsing by Subject "Faster R-CNN"
Now showing items 1-5 of 5
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Deep learning based crowd monitoring and person identification system
(Brac University, 2023-09)In this paper, we propose a deep learning-based crowd monitoring and person identification system and a crowd-video dataset to address the challenges posed by the recent COVID-19 pandemic or future pandemics may occur, ... -
Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
(Brac University, 2023-01)Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high levels of noise and clutter. These conditions can ... -
Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
(Brac University, 2022-05)Autonomous vehicles [AVs] are the future of transportation and they are likely to bring countless benefits compared to human-operated driving. However, there are still a lot of advances yet to be made before these vehicles ... -
Real-time obscene scene nudity detection and blurring in a video clip
(Brac University, 2022-09-22)Videos are widely consumed by people of all ages as a form of entertainment, information and education. However, not all videos are made for everyone. Many videos contain obscenities such as nudity, violence, blood, and ... -
Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
(Brac University, 2019-12)This research focuses on autonomous traversal of land vehicles through exploring undiscovered tracks and overcoming environmental barriers. Most of the existing systems can only operate and traverse in a distinctive ...
