Abstract
A major concern in aerial video surveillance today is to improve the processing speed continuously. This work introduces a joint visual constraints method for high speed aerial video stitching. To obtain real-time and accurate performance, we first select the compact and efficient ORB (Oriented FAST and Rotated BRIEF) for fast local feature description and matching, and then adopt the dynamic key frame based video stitching framework to reduce the accumulation errors. To further achieve high speed performance, we improve the above framework by fusing spatial and temporal constraints of ORB keypoints during online stitching, and increase the processing speed to 150 fps successfully. The results with public available UAV datasets demonstrate the superiority of joint constraints.
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