Object recognition and localization with ultrasonic imaging in robotics applications

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1994

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Kırağı, Hasan

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https://hdl.handle.net/11511/10574

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Graduate School of Natural and Applied Sciences, Thesis

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Object recognition and segmentation via shape models Altınoklu, Metin Burak; Ulusoy, İlkay; Tarı, Zehra Sibel; Department of Electrical and Electronics Engineering (2016) In this thesis, the problem of object detection, recognition and segmentation in computer vision is addressed with shape based methods. An efficient object detection method based on a sparse skeleton has been proposed. The proposed method is an improved chamfer template matching method for recognition of articulated objects. Using a probabilistic graphical model structure, shape variation is represented in a skeletal shape model, where nodes correspond to parts consisting of lines and edges correspond to pa...
Object tracking for surveillance applications using thermal and visible band video data fusion Beyan, Çiğdem; Temizel, Alptekin; Department of Information Systems (2010) Individual tracking of objects in the video such as people and the luggages they carry is important for surveillance applications as it would enable deduction of higher level information and timely detection of potential threats. However, this is a challenging problem and many studies in the literature track people and the belongings as a single object. In this thesis, we propose using thermal band video data in addition to the visible band video data for tracking people and their belongings separately for ...

Citation Formats

H. Kırağı, “Object recognition and localization with ultrasonic imaging in robotics applications,” Middle East Technical University, 1994.