| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Research Abstract |
In this reseasrch, we proposed 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. 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 0.01 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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