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- W2894367633 abstract "This letter proposes an effective method to improve object location in Chamfer template matching (CTM) based object detection using image segmentation. In our method, object bounding boxes are iteratively adjusted to fit with the object images obtained from image segmentation in a probabilistic model. The proposed method was tested with state-of-the-art CTM-based object detectors. Experimental results have shown the proposed method improved the location accuracy of the object detectors and reduce the false alarms rate." @default.
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- W2894367633 date "2018-11-01" @default.
- W2894367633 modified "2023-10-11" @default.
- W2894367633 title "Improving Chamfer Template Matching Using Image Segmentation" @default.
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- W2894367633 doi "https://doi.org/10.1109/lsp.2018.2862645" @default.
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