Synchronizing Object Detection: Applications, Advancements and Existing Challenges

From pivotal roles in autonomous vehicles, healthcare diagnostics, and surveillance systems to seamlessly integrating with augmented reality, object detection algorithms stand as the cornerstone in unraveling the complexities of the visual world. Tracing the trajectory from conventional region-based...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.54129-54167
Main Authors: Tanzib Hosain, Md, Zaman, Asif, Abir, Mushfiqur Rahman, Akter, Shanjida, Mursalin, Sawon, Khan, Shadman Sakeeb
Format: Article
Language:English
Subjects:
Algorithms
Augmented reality
Computational modeling
Computer architecture
Deep learning
image classification
image recognition
Machine learning
Neural networks
Object detection
Object recognition
object segmentation
object tracking
Real-time systems
semantic detection
Surveillance systems
Synchronism
Visualization
YOLO
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:From pivotal roles in autonomous vehicles, healthcare diagnostics, and surveillance systems to seamlessly integrating with augmented reality, object detection algorithms stand as the cornerstone in unraveling the complexities of the visual world. Tracing the trajectory from conventional region-based methods to the latest neural network architectures reveals a technological renaissance where algorithms metamorphose into digital artisans. However, this journey is not without hurdles, prompting researchers to grapple with real-time detection, robustness in varied environments, and interpretability amidst the intricacies of deep learning. The allure of addressing issues such as occlusions, scale variations, and fine-grained categorization propels exploration into uncharted territories, beckoning the scholarly community to contribute to an ongoing saga of innovation and discovery. This research offers a comprehensive panorama, encapsulating the applications reshaping our digital reality, the advancements pushing the boundaries of perception, and the open issues extending an invitation to the next generation of visionaries to explore uncharted frontiers within object detection.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3388889