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Improving chamfer template matching using image segmentation
journal contributionposted on 2018-01-01, 00:00 authored by Duc Thanh NguyenDuc Thanh Nguyen, N S Vu, T T Do, Thin NguyenThin Nguyen, John YearwoodJohn Yearwood
© 2018 IEEE. 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.