人类暴力识别算法综述

Youshan Zhang, Shaozhe Guo, Yong Li
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引用次数: 0

摘要

暴力行为识别是人类行为识别的一个具体研究方向。已发表的综述主要集中在深度学习在行为识别领域的发展,对暴力行为识别的关注度较低。根据使用的方法不同,本文从基于手动描述符和深度学习的暴力识别角度分析了各种算法,并介绍了常用的数据集。最后,总结了不同模型和算法的特点,并讨论了暴力识别领域潜在的问题和未来的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Human Violence Recognition Algorithms
Violent behavior recognition is a specific research direction of human behavior recognition. Published reviews mainly focuses on the development of deep learning in the field of behavior recognition, and the attention to violent behavior recognition is low. According to the different methods used, this paper analyzes various algorithms from the perspective of violence recognition based on manual descriptor and deep learning, and introduces the commonly used datasets. Finally, the characteristics of different models and algorithms are summarized, and discuss potential problems and future work in the field of violence recognition.
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