Camouflaged objects can hide into the surrounding environments by changing their appearances. It is difficult to discover them with traditional detection methods. To address the problem, this paper proposes an effective checkerboard projection method for high-speed camouflage detection. Specifically, the projector illuminates two complementary checkerboard patterns onto the monitoring region, meanwhile the camera records the deformed patterns. Then we develop an image analysis algorithm to extract the local variations of the deformed patterns, which can indicate the locations and contours of camouflaged objects. Both simulations and experiments verify that the proposed method can effectively detect the objects camouflaged in complex environments with the advantages of high speed, good robustness, and easy to use.
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