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Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors

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4 Author(s)
Takacs, G. ; Inf. Syst. Lab., Stanford Univ., Stanford, CA ; Chandrasekhar, V. ; Girod, B. ; Grzeszczuk, R.

We propose a novel, low-complexity, tracking scheme that uses motion vectors directly from a video coder. We compare our tracking algorithm against ground truth data, and show that we can achieve a high level of accuracy, even though the motion vectors are rate-distortion optimized and do not represent true motion. We develop a framework for tracking in video sequences with various GOP structures. Such a scheme would find applications in the context of Mobile Augmented Reality. The proposed feature tracking algorithm can significantly reduce the required rate of feature extraction and matching.

Published in:

Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on

Date of Conference:

13-16 Nov. 2007