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Automatic content-based temporal alignment of image sequences with varying spatio-temporal resolution

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2 Author(s)
Ogden, S.R. ; Brigham Young Univ., Provo, UT, USA ; Morse, B.S.

Many applications use multiple cameras to simultaneously capture imagery of a scene from a rigid, moving camera system over time. Multiple cameras often provide unique viewing angles but also additional levels of detail of a scene at different spatio-temporal resolutions. However, in order to benefit from this added information the sources must often be temporally aligned. As a result of cost and physical limitations it is often impractical to synchronize these sources via an external clock device. Most methods attempt synchronization through the recovery of a constant scale factor and offset with respect to time. This limits the generality of such solutions. We present an unsupervised method that utilizes a content-based clustering mechanism in order to temporally align multiple non-synchronized image sequences of different and varying spatio-temporal resolutions. We show that the use of temporal constraints and dynamic programming adds robustness to changes in capture rates, field of view, and resolution.

Published in:

Applications of Computer Vision (WACV), 2013 IEEE Workshop on

Date of Conference:

15-17 Jan. 2013

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