Global-to-local object detection systems that pinpoint parts after coarse scene detection are now expiring soon.
The method first runs a global object detector to identify coarse object regions in an image, then crops or selects portions of those regions for a local detector to find finer-grained parts. This two-stage pipeline improves precision by focusing local analysis on targeted subregions instead of processing the entire scene at full resolution. Previously, deploying this specific approach could require licensing from Carrier Fire and Security Corp due to protected implementation details in the patent.
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The present invention provides a system and method of object detection that employs both global object detection and local object detection. In particular, the present invention applies global object detection techniques to detect global objects, and then applies local object detection techniques on select portions of detected global objects to detect local objects.
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