Object detection based on vision sensors and neural network
Book
Qi, M. and Dunnhofer, M. (ed.) 2025. Object detection based on vision sensors and neural network. Basel MDPI.
Editors | Qi, M. and Dunnhofer, M. |
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Abstract | This is a reprint of the Special Issue, published open access by the journal Sensors (ISSN 1424-8220). This Special Issue reprint provides an overview of object detection in images and videos, with a focus on addressing the resource constraints of lightweight vision sensors. Object detection has long been a key research area in computer vision. It is now gaining increasing attention from both academia and industry, driven by the rapid advancement of deep neural networks (DNNs) and high-resolution vision sensors. While DNNs have achieved remarkable success in recent years, they are becoming increasingly complex, with deeper network structures and larger training datasets. This growing complexity poses a challenge for deploying computationally and data-intensive DNNs on resource-limited vision sensors, particularly for real-time object detection. |
Keywords | Object detection; Vision sensors; Neural networks; Lightweight vision sensors |
Year | 2025 |
Publisher | MDPI |
Output status | Published |
Publication dates | |
Online | 27 Mar 2025 |
Publication process dates | |
Deposited | 31 Mar 2025 |
Place of publication | Basel |
ISBN | 9783725836598 |
9783725836604 | |
Digital Object Identifier (DOI) | https://doi.org/10.3390/books978-3-7258-3660-4 |
Publisher's version | License File Access Level Open |
Official URL | https://www.mdpi.com/books/reprint/10690-object-detection-based-on-vision-sensors-and-neural-network |
https://www.mdpi.com/journal/sensors/special issues/7A3ZUD09QO. |
https://repository.canterbury.ac.uk/item/9qqz1/object-detection-based-on-vision-sensors-and-neural-network
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Publisher's version
Object_Detection_Based_on_Vision_Sensors_and_Neural_Network.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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