Weather Videos
نویسندگان
چکیده
منابع مشابه
Restoration of Video by Removing Rain
The objective is to remove rain from videos without blurring the object. The algorithm helps to devise the system which removes rain from videos to facilitate video surveillance, and to improve the various visionbased algorithms. Rain is a noise that impairs videos and images. Such weather conditions will affect stereo correspondence, feature detection, segmentation, and object tracking and rec...
متن کاملDesign and management of public health outreach using interoperable mobile multimedia: an analysis of a national winter weather preparedness campaign
BACKGROUND The Office of Public Health Preparedness and Response (OPHPR) in the Centers for Disease Control and Prevention conducts outreach for public preparedness for natural and manmade incidents. In 2011, OPHPR conducted a nationwide mobile public health (m-Health) campaign that pushed brief videos on preparing for severe winter weather onto cell phones, with the objective of evaluating the...
متن کاملScott Wehrwein
The tools for capturing and sharing photos and videos have exploded to the point of ubiquity. Internet photo collections of popular landmarks now contain over a decade’s worth of photographs; thousands of timelapse scenes are available on video sharing websites; live cameras stream real-time videos of many scenes 24 hours a day; high-resolution images of an entire face of the earth are availabl...
متن کاملSpatio-Temporal Frequency Analysis for Removing Rain and Snow from Videos
Capturing good videos outdoors can be challenging due to harsh lighting, unpredictable scene changes, and most relevant to this work, dynamic weather. Particulate weather, such as rain and snow, creates complex flickering effects that are irritating to people and confusing to vision algorithms. Although each raindrop or snowflake only affects a small number of pixels, collections of them have p...
متن کاملA Benchmark Dataset for Outdoor Foreground/Background Extraction
Most of video-surveillance based applications use a foreground extraction algorithm to detect interest objects from videos provided by static cameras. This paper presents a benchmark dataset and evaluation process built from both synthetic and real videos, used in the BMC workshop (Background Models Challenge). This dataset focuses on outdoor situations with weather variations such as wind, sun...
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