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Information Technology Journal
  Year: 2011 | Volume: 10 | Issue: 2 | Page No.: 335-347
DOI: 10.3923/itj.2011.335.347
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Robust Digital Image Stabilization Technique for Car Camera

Yuefei Zhang and Mei Xie

This research studies the digital image stabilization technique for the In-Car videos which are acquired from a car camera. Firstly, the relationship is established between the lane-line positions in a camera coordinate and an image plane. Then an analysis is performed to reveal the positions of the lane-lines in In-Car videos. Next, a digital image stabilization method for car cameras is proposed based on lane-line matching. This method begins with extracting the lane-lines from an In-Car video. Then, feature triangles are constructed to estimate the global inter-frame motions of the input video and a series of compensating motion vectors are yielded by using Kalman filter based algorithm with the inter-frame motions. Finally, repositioning the frames of the input video, according to the compensating motion vectors, can produce a stabilized In-Car video. The proposed method is resistant to the scene changes of In-Car videos. The experimental results, both for the simulated In-Car videos and the real ones, have demonstrated that the proposed method can robustly reduce the effects of undesired car camera motions on In-Car videos.
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  •    A Robust Vision-based Lane Boundaries Detection Approach for Intelligent Vehicles
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How to cite this article:

Yuefei Zhang and Mei Xie, 2011. Robust Digital Image Stabilization Technique for Car Camera. Information Technology Journal, 10: 335-347.

DOI: 10.3923/itj.2011.335.347






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