Results 11 to 20 of about 5,654,505 (287)
Audio-based event detection for sports video [PDF]
, 2003 In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which ...
Baillie, M., Jose, J.M.
core +8 more sources
Fast human detection for video event recognition [PDF]
, 2009 Human body detection, which has become a research hotspot during the last two years, can be used in many video content analysis applications. This paper investigates a fast human detection method for volume based video event detection.
Wang, J, Xu, Zhijie, Hoder, M.E.
core +4 more sources
An audio-based sports video segmentation and event detection algorithm [PDF]
, 2004 In this paper, we present an audio-based event detection algorithm shown to be effective when applied to Soccer video. The main benefit of this approach is the ability to recognise patterns that display high levels of crowd response correlated to key ...
Baillie, M., Jose, J.M.
core +8 more sources
Detecting Cyber Threat Event from Twitter Using IDCNN and BiLSTM
Applied Sciences, 2020 In the context of increasing cyber threats and attacks, monitoring and analyzing network security incidents in a timely and effective way is the key to ensuring network infrastructure security. As one of the world’s most popular social media sites, users
Yong Fang +3 more
doaj +1 more source
Prediction limits of mobile phone activity modelling [PDF]
Royal Society Open Science, 2017 Thanks to their widespread usage, mobile devices have become one of the main sensors of human behaviour and digital traces left behind can be used as a proxy to study urban environments.
Dániel Kondor +5 more
doaj +1 more source
A Survey of Outlier Detection Techniques in IoT: Review and Classification
Journal of Sensor and Actuator Networks, 2022 The Internet of Things (IoT) is a fact today where a high number of nodes are used for various applications. From small home networks to large-scale networks, the aim is the same: transmitting data from the sensors to the base station.
Mustafa Al Samara +3 more
doaj +1 more source
Sensors, 2020 A smart home provides a facilitated environment for the detection of human activity with appropriate Deep Learning algorithms to manipulate data collected from numerous sensors attached to various smart things in a smart home environment.
Muhammad Diyan +3 more
doaj +1 more source
Sensors, 2021 Crowdsensing offers a cost-effective way to collect large amounts of environmental sensor data; however, the spatial distribution of crowdsensing sensors can hardly be influenced, as the participants carry the sensors, and, additionally, the quality of ...
Matthias Hirth +4 more
doaj +1 more source
Electrocardiogram Events Detection [PDF]
, 2011 This work aims to create a system of medical diagnosis of the Electrocardiogram (ECG). The events of the ECG are related with the functioning of the heart and different disorders of the heart functioning have their own ECG pattern allowing the connection between ECG patterns and cardiac disorders.
Teixeira, João Paulo, Lopes, Vanda
openaire +3 more sources
Event Detection with Entity Markers [PDF]
, 2021 Event detection involves the identification of instances of specified types of events in text and their classification into event types. In this paper, we approach the event detection task as a relation extraction task. In this context, we assume that the clues brought by the entities participating in an event are important and could improve the ...
Emanuela Boros +2 more
openaire +5 more sources