svyas23/GAMa
GAMa: Cross-view Video Geo-localization
This project helps pinpoint the exact geographical location of a video captured from the ground by matching it against a large aerial map. You input a ground-level video and a corresponding aerial image of the general area, and it outputs the video's precise trajectory overlaid on the aerial map. This is useful for urban planners, security analysts, or drone operators needing to track movement in large areas.
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Use this if you need to accurately map a ground-level video's path onto an aerial or satellite image, especially for security, surveillance, or urban monitoring applications.
Not ideal if you only have ground-level video without any corresponding aerial imagery of the same region, or if you need to identify specific objects within the video rather than its geographical path.
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44
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Language
Python
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Category
Last pushed
Nov 11, 2022
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