ITE Transactions on Media Technology and Applications
Online ISSN : 2186-7364
ISSN-L : 2186-7364
Special Section on Advanced Image Sensor Technology
[Paper] Object Tracking and Image Restoration from Multi-Frame Images Captured in a Dark Environment
Takashi KomuroHayato Kuroda
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2014 Volume 2 Issue 2 Pages 176-184


We show a method of realizing object tracking and image restoration in the dark in which target motion and a reference image are simultaneously estimated using a Bayesian framework. To avoid being trapped in a local minimum in the gradient calculation, a broader search is performed by calculating differences after applying a strong low-pass filter to input images. Deblurring is performed using the motion parameters estimated from the blurred images. As a result, we realized object tracking and image restoration from simulated video images with an SNR of up to -6 dB, and real video images captured in a dark environment of less than 0.05 lx illuminance at the subject surface. In addition, we examined the optimal frame rate for image restoration and we found that a higher frame rate was better under relatively little noise while a lower frame rate was better under much noise.

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© 2014 The Institute of Image Information and Television Engineers
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