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.
EditorsQi, M. and Dunnhofer, M.
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.

KeywordsObject detection; Vision sensors; Neural networks; Lightweight vision sensors
Year2025
PublisherMDPI
Output statusPublished
Publication dates
Online27 Mar 2025
Publication process dates
Deposited31 Mar 2025
Place of publicationBasel
ISBN9783725836598
9783725836604
Digital Object Identifier (DOI)https://doi.org/10.3390/books978-3-7258-3660-4
Publisher's version
License
File Access Level
Open
Official URLhttps://www.mdpi.com/books/reprint/10690-object-detection-based-on-vision-sensors-and-neural-network
https://www.mdpi.com/journal/sensors/special issues/7A3ZUD09QO.
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https://repository.canterbury.ac.uk/item/9qqz1/object-detection-based-on-vision-sensors-and-neural-network

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