0000000000414415

AUTHOR

Qasim Hafeez

showing 1 related works from this author

Anomaly Detection in Traffic Surveillance Videos Using Deep Learning

2022

In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the monitoring of abnormal human actions, and traffic surveillance. The detection and recognition of abnormal activity in a real-world environment is a big challenge, as there can be many types of alarming and abnormal activities, such as theft, violence, and accidents. This research deals with accidents in traffic videos. In the modern world, video traffic surveillance cameras (VTSS) are used for traffic surveillance and monitoring. As the population is increasing drastically, the likelihood of accidents is also increasing. The VTSS is used to detect abno…

VDP::Teknologi: 500Deep LearningAccidents TrafficHumansNeural Networks Computerdeep learning; video classification; accident detection; surveillance system; anomaly detectionCitiesElectrical and Electronic EngineeringBiochemistryInstrumentationAlgorithmsAtomic and Molecular Physics and OpticsAnalytical ChemistrySensors
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