Event geo-localization and tracking from crowd-sourced video metadata
| Autor: | Subhasis Chaudhuri, Amit More |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Vision based
Event (computing) business.industry Computer science Experimental data Gps receiver 020207 software engineering 02 engineering and technology Tracking (particle physics) Metadata Compass 0202 electrical engineering electronic engineering information engineering Global Positioning System 020201 artificial intelligence & image processing Computer vision Artificial intelligence business |
| Zdroj: | ICVGIP |
| Popis: | We propose a novel technique for event geo-localization (i.e. 2-D location of the event on the surface of the earth) from the sensor metadata of crowd-sourced videos collected from smartphone devices. With the help of sensors available in the smartphone devices, such as digital compass and GPS receiver, we collect metadata information such as camera viewing direction and location along with the video. The event localization is then posed as a constrained optimization problem using available sensor metadata. Our results on the collected experimental data shows correct localization of events, which is particularly challenging for classical vision based methods because of the nature of the visual data. Since we only use sensor metadata in our approach, computational overhead is much less compared to what would be if video information is used. At the end, we illustrate the benefits of our work in analyzing the video data from multiple sources through geo-localization. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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