The main objective of this work is the analysis of computer vision techniques and algorithms to perform automatic detection of specific events in video ...
This paper presents a surveillance system based on motion analysis and introduces the idea of event probability zones. Advantages, limitations, capabilities and ...
A surveillance system based on motion analysis and the idea of event probability zones is presented, capable of detecting events of objects moving in ...
The main objective of this work is the analysis of computer vision techniques and algorithms to perform automatic detection of specific events in video ...
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Meanwhile, we show that by employing relative motion, ERMH-BoW is able to honestly describe object activities in an event regardless of varying camera movement.
We conduct experiments for detecting LSCOM events in TRECVID 2005 video corpus, and performance is improved by 74% and 24% compared with existing motion ...
Jul 10, 2024 · This study systematically analyzed the steps required to automate the video analysis workflow by investigating the applicability of a threshold-based event ...
Video event detection framework on large-scale video data
iro.uiowa.edu › outputs › doctoral › Vid...
Detection of events and actions in video entails substantial processing of very large, even open-ended, video streams. Video data presents a unique ...
In this paper, we present a high-level scene and structure analysis system for sports videos. This system is built on top of object segmentation, feature ...
In particular, for static scenes, tech- niques such as background subtraction can generate high- quality spatio-temporal volumes that are amenable to this.