| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Outline of Final Research Achievements |
A problem arises when a camera with a wide field of view has an extremely low resolution of a person, which dramatically reduces the performance of person re-identification. To solve the problem, I have developed a method to identify low-resolution person images using the appropriate resampling technique. I collected a low-resolution image dataset for varying the camera lens's focal length and the distance from the person to the camera. Experimental results show that a downsampling technique for generating low-resolution images is more effective than an upsampling technique for generating high-resolution images. I demonstrated that the low-frequency components obtained by a downsampling technique contained many discriminative features.
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