2015 Fiscal Year Final Research Report
Sensing with Selective Attention
| Project/Area Number |
25540072
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
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| Research Institution | Kyushu University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | 画像処理 / 物体検出 / 選択的注視 |
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| Outline of Final Research Achievements |
Existing background model based change detection methods have difficulty in distinguishing between foreground and background changes when both changes are caused by the same factors. We explored the possibility of using a light field camera to resolve the problem of existing single-view camera-based approaches. We proposed a new change detection strategy that processes light rays captured by the light field camera. The light rays are used for 1) generating an active surveillance field (ASF) to determine in-focus and out-focus areas, 2) evaluating focusness to determine whether the light rays come from the ASF, and 3) creating and updating light-ray background models to capture temporal changes in light rays. We evaluated several video sequences captured by a light field camera. Experimental results showed that our change detection scheme can robustly handle challenging situations that cannot be resolved by existing single-view approaches.
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| Free Research Field |
パターン認識
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