计算机科学
人工智能
动作识别
动作(物理)
模式识别(心理学)
人工神经网络
计算机视觉
图像(数学)
机器学习
量子力学
物理
班级(哲学)
作者
Bigyeol Choi,Wonyoung An,Hyunwoo Kang
标识
DOI:10.1109/ictc55196.2022.9952808
摘要
Human action recognition is a technology that recognizes human behavior through images. This can be used in video surveillance to detect abnormal situations without human intervention. To increase accuracy of behavior recognition, it is considerable method to use consecutive images. However, it increases time complexity due to the large number of videos to be processed in real system. Thus, the lightweight model which can recognize human behavior with just one image is necessary. To this end, we propose a lightweight behavior classification model based-on neural network which utilize human joint information.
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