在视频片段中搜索对象:丢帧和对象检测方法

Tapiwanashe Miranda Sanyanga, Munyaradzi Sydney Chinzvende, T. D. Kavu, John Batani
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引用次数: 2

摘要

由于监控摄像机和拍摄产生的视频内容越来越多,视频分析变得势在必行。有时,为了找到想要的镜头,花几个小时看监控摄像头拍摄的视频变得乏味。当前最先进的视频分析方法不能解决使用对象名称作为查询来搜索和定位视频中的特定对象,并且只返回显示该对象实例的视频剪辑片段的问题。在这项研究中,作者利用现有工作的组合实现,并应用丢帧算法来生成一个更短的、修剪过的视频剪辑,显示搜索标签指定的目标对象。生成的视频简短且针对感兴趣的对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching Objects in a Video Footage: Dropping Frames and Object Detection Approach
Due to the increase in video content being generated from surveillance cameras and filming, videos analysis becomes imperative. Sometimes it becomes tedious to watch a video captured by a surveillance camera for hours, just to find out the desired footage. Current state of-the-art video analysis methods do not address the problem of searching and localizing a particular object in a video using the name of the object as a query and to return only a segment of the video clip showing the instances of that object. In this research the authors make use of combined implementations from existing work and also applied the dropping frames algorithm to produce a shorter, trimmed video clip showing the target object specified by the search tag. The resulting video is short and specific to the object of interest.
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