Paper
28 October 2021 Image target classification detection
Lihong Dong, Xirong Wang, Mei Wang, Rui Xu
Author Affiliations +
Proceedings Volume 11884, International Symposium on Artificial Intelligence and Robotics 2021; 118840J (2021) https://doi.org/10.1117/12.2603758
Event: International Symposium on Artificial Intelligence and Robotics 2021, 2021, Fukuoka, Japan
Abstract
With the rapid development of social networks and the increasing use of mobile devices, the data scale of digital images has increased sharply, and the dynamic detection of object categories has gradually become a research hotspot in the field of computer vision. The key problems of dynamic detection of object categories are summarized. First introduces the research background of the target category, then the target object type detection techniques were reviewed, including the source code to compile, functional testing, model training and model verification points, four core technology and the training of different data sets and evaluation standard, the final object categories listed dynamic detection algorithm of test results, and summarize the main research of target category test difficulty and developing direction in the future.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lihong Dong, Xirong Wang, Mei Wang, and Rui Xu "Image target classification detection", Proc. SPIE 11884, International Symposium on Artificial Intelligence and Robotics 2021, 118840J (28 October 2021); https://doi.org/10.1117/12.2603758
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KEYWORDS
Target detection

Image segmentation

Image classification

Computer vision technology

Data modeling

Detection and tracking algorithms

Machine vision

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