A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods
Surveillance systems do not give a rapid response to deal with suspicious activities such as
armed robbery in public places. Consequently, there is a need for technology that can …
armed robbery in public places. Consequently, there is a need for technology that can …
Image and video-based crime prediction using object detection and deep learning
M Boukabous, M Azizi - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
In recent years, the use of artificial intelligence (AI) for image and video-based crime
detection has gained significant attention from law enforcement agencies and security …
detection has gained significant attention from law enforcement agencies and security …
[PDF][PDF] H2rbox-v2: Boosting hbox-supervised oriented object detection via symmetric learning
With the increasing demand for oriented object detection eg in autonomous driving and
remote sensing, the oriented annotation has become a labor-intensive work. To make full …
remote sensing, the oriented annotation has become a labor-intensive work. To make full …
PointOBB: Learning Oriented Object Detection via Single Point Supervision
Single point-supervised object detection is gaining attention due to its cost-effectiveness.
However existing approaches focus on generating horizontal bounding boxes (HBBs) while …
However existing approaches focus on generating horizontal bounding boxes (HBBs) while …
H2RBox-v2: Incorporating symmetry for boosting horizontal box supervised oriented object detection
With the rapidly increasing demand for oriented object detection, eg in autonomous driving
and remote sensing, the recently proposed paradigm involving weakly-supervised detector …
and remote sensing, the recently proposed paradigm involving weakly-supervised detector …
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision
With the rapidly increasing demand for oriented object detection (OOD) recent research
involving weakly-supervised detectors for learning rotated box (RBox) from the horizontal …
involving weakly-supervised detectors for learning rotated box (RBox) from the horizontal …
Knowledge combination to learn rotated detection without rotated annotation
Rotated bounding boxes drastically reduce output ambiguity of elongated objects, making it
superior to axis-aligned bounding boxes. Despite the effectiveness, rotated detectors are not …
superior to axis-aligned bounding boxes. Despite the effectiveness, rotated detectors are not …
Pmho: Point-supervised oriented object detection based on segmentation-driven proposal generation
Oriented object detection has gained increasing attention due to its ability to detect objects
with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious …
with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious …
YOLOv5-based weapon detection systems with data augmentation
L Sumi, S Dey - International Journal of Computers and …, 2023 - Taylor & Francis
Closed-Circuit Television (CCTV) cameras in public places have become more prominent
with the rising firearm-related criminal activities, such as robberies, open firing, threats at …
with the rising firearm-related criminal activities, such as robberies, open firing, threats at …
The rise of digitalization in constructions: State-of-the-art in the use of sensing technology for advanced building-assistance systems
J Suo, S Waje, VKT Gunturu, A Patlolla… - Frontiers in Built …, 2024 - frontiersin.org
The construction sector is traditionally affected by on-site errors that significantly impact both
budget and schedule. To minimize these errors, researchers have long hypothesized the …
budget and schedule. To minimize these errors, researchers have long hypothesized the …