Joint Multiple Visual Constraints for High Speed Video Stitching

Jing Li; Tao Yang; Zhao Yang Lu

doi:10.4028/www.scientific.net/AMM.530-531.418

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531Joint Multiple Visual Constraints for High Speed...

Joint Multiple Visual Constraints for High Speed Video Stitching

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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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

418-421

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.418

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Online since:

February 2014

Authors:

Jing Li*, Tao Yang, Zhao Yang Lu

Keywords:

Aerial Surveillance, Binary Feature, Image Registration, Outlier Removal, Video Stitching

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