视频暴力检测中的深度学习

Minglan Su, Chaoying Zhang, Yingbei Tong, Baolin Liang, Sicong Ma, Jianxiu Wang
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引用次数: 1

摘要

近年来,为了不断推进平安城市建设,智能监控设备在全国范围内得到了广泛的应用。在智能图像分析领域,行为智能分析受到了越来越多的关注。目前,行为分析方法侧重于检测简单的动作,如散步、慢跑或跳跃;而对复杂行为的打斗或暴力行为的研究较少。然而,在视频监控中对暴力事件进行有效的智能分析,对于维护社会稳定、保护人民生命财产安全至关重要。因此,我们总结了现有视频序列中暴力检测的最新方法。
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Deep Learning in Video Violence Detection
In recent years, in order to continuously promote the construction of a safe city, intelligent monitoring equipment has been widely used throughout the country. In the field of intelligent image analysis, behavioral intelligence analysis has received more and more attention. At present, behavior analysis methods focus on detecting simple actions, such as walking, jogging, or jumping; while there is less research on fighting or violent behaviors with complex actions. However, the effective intelligent analysis of violence in video surveillance is essential to maintaining social stability and protecting people's lives and property. Therefore, we summarize the latest methods of violence detection in existing video sequences.
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