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The Activity Extended Video (ActEV) challenge main focus is on human activity detection in multi-camera video streams. Activity detection has been an active research area in computer vision in recent years. The ability to detect human activities is an important task in computer vision due to its potential in a wide range of applications such as public safety and security, crime prevention, traffic monitoring and control, eldercare/childcare, human-computer interaction, human-robot interaction, smart homes, hospital activity monitoring, and many more. Here, by activity detection, we mean the detection of visual events (people/objects engaged in particular activities) in a large collection of video data. The ActEV challenge (https://actev.nist.gov) that we are currently running is based on the VIRAT V1
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The Activity Extended Video (ActEV) challenge main focus is on human activity detection in multi-camera video streams. Activity detection has been an active research area in computer vision in recent years. The ability to detect human activities is an important task in computer vision due to its potential in a wide range of applications such as public safety and security, crime prevention, traffic monitoring and control, eldercare/childcare, human-computer interaction, human-robot interaction, smart homes, hospital activity monitoring, and many more. Here, by activity detection, we mean the detection of visual events (people/objects engaged in particular activities) in a large collection of video data. The ActEV challenge (https://actev.nist.gov) that we are currently running is based on the VIRAT V1
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The Activity Extended Video (ActEV) challenge main focus is on human activity detection in multi-camera video streams. Activity detection has been an active research area in computer vision in recent years. The ability to detect human activities is an important task in computer vision due to its potential in a wide range of applications such as public safety and security, crime prevention, traffic monitoring and control, eldercare/childcare, human-computer interaction, human-robot interaction, smart homes, hospital activity monitoring, and many more. Here, by activity detection, we mean the detection of visual events (people/objects engaged in particular activities) in a large collection of video data. The ActEV challenge (https://actev.nist.gov) that we are currently running is based on the VIRAT V1
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- descriptionThe Activity Extended Video (ActEV) challenge main focus is on human activity detection in multi-camera video streams. Activity detection has been an active research area in computer vision in recent years. The ability to detect human activities is an important task in computer vision due to its potential in a wide range of applications such as public safety and security, crime prevention, traffic monitoring and control, eldercare/childcare, human-computer interaction, human-robot interaction, smart homes, hospital activity monitoring, and many more. Here, by activity detection, we mean the detection of visual events (people/objects engaged in particular activities) in a large collection of video data. The ActEV challenge (https://actev.nist.gov) that we are currently running is based on the VIRAT V1
- keywordsHuman Activity Detection, Activity Classification and Localization, Multi-Camera Video, Video Analytics, Object Detection and Tracking
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- og:descriptionThe Activity Extended Video (ActEV) challenge main focus is on human activity detection in multi-camera video streams. Activity detection has been an active research area in computer vision in recent years. The ability to detect human activities is an important task in computer vision due to its potential in a wide range of applications such as public safety and security, crime prevention, traffic monitoring and control, eldercare/childcare, human-computer interaction, human-robot interaction, smart homes, hospital activity monitoring, and many more. Here, by activity detection, we mean the detection of visual events (people/objects engaged in particular activities) in a large collection of video data. The ActEV challenge (https://actev.nist.gov) that we are currently running is based on the VIRAT V1
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