Improving Chamfer Template Matching Using Image Segmentation

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 mode...

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Veröffentlicht in:	IEEE signal processing letters 2018-11, Vol.25 (11), p.1635-1639
Hauptverfasser:	Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, Yearwood, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Chamfer template matching (CTM) Chamfering Computational modeling Detectors False alarms Image detection Image edge detection Image segmentation Object detection Object recognition Optimization Probabilistic methods Probabilistic models Template matching Training
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