Improving Performance of Real-Time Object Detection in Edge Device Through Concurrent Multi-Frame Processing

As the performance and accuracy of machine learning and AI algorithms improve, the demand for adopting computer vision techniques to solve various problems, such as autonomous driving and AI robots, increases. To meet such demand, IoT and edge devices, which are small enough to be adopted in various...

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Vydáno v:	IEEE access Ročník 13; s. 1522 - 1533
Hlavní autoři:	Kim, Seunghwan, Kim, Changjong, Kim, Sunggon
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial intelligence Computational modeling Computer vision Edge devices Electric power supplies Frames (data processing) Group dynamics Image edge detection Load modeling Machine learning Memory devices Memory management Memory tasks object detection Object recognition Parallel processing Performance evaluation performance optimization Real time Real-time systems Run time (computers) Runtime Streaming media Task complexity Video YOLO
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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