研究人员开发了一种新的三阶段流程，用于监控视频中的零样本事故理解。该方法将任务分解为识别何时发生撞击、撞击类型及其在帧内的位置。通过利用视觉语言相似性和跨不同视图的多提示推理，该系统旨在提高事故检测和定位的可靠性。 AI
影响 引入了一种新颖的视频理解方法，有望改进安全系统和监控分析。
排序理由 该集群包含一篇详细介绍视频分析新方法的学术论文。
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In this paper, we address the problem of zero-shot understanding of accidents from surveillance videos by identifying when an impact event occurs, what type of impact it is, and where in the frame it occurs using natural language. We propose a three-stage pipeline that decomposes…
arXiv:2606.12047v1 Announce Type: cross Abstract: In this paper, we address the problem of zero-shot understanding of accidents from surveillance videos by identifying when an impact event occurs, what type of impact it is, and where in the frame it occurs using natural language.…
In this paper, we address the problem of zero-shot understanding of accidents from surveillance videos by identifying when an impact event occurs, what type of impact it is, and where in the frame it occurs using natural language. We propose a three-stage pipeline that decomposes…