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Design and Implementation of Real Time Face Tracking Humanoid Robot

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dc.contributor.authorCilmi, Berke
dc.contributor.authorMercimek, Muharrem
dc.date.accessioned2026-06-27T14:16:51Z
dc.date.issued2018
dc.description.abstractHumanoid robots are not solely a part of the science fiction; they are at the focus of many study areas in real life. After the developments in robotics and automation in the last century, robots are made not just to perform certain tasks; some are designed to bear a resemblance to humans. The main thrust of this project is to design and implement a humanoid robot that is capable of seeing, detecting and tracking a human face in a cost efficient and robust manner. In this study Viola-Jones face detection framework and Kanade-Lucas-Tomasi (KLT) feature tracker are utilized to build the desired humanoid robot. Certain constraints such as limited joint range, manipulability measures and singularity avoidance are all regarded on the end-effector for the implementation.en
dc.identifier.isbn978-1-5386-7641-7
dc.identifier.urihttps://hdl.handle.net/20.500.14981/58752
dc.identifier.wos000491282100014
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference6th International Conference on Control Engineering and Information Technology (CEIT)
dc.relation.ispartof2018 6TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT)
dc.subjectHumanoid robot
dc.subjectHumanoid neck
dc.subjectFace detection and tracking
dc.subjectAutomation & Control Systems
dc.subjectComputer Science
dc.subjectEngineering
dc.titleDesign and Implementation of Real Time Face Tracking Humanoid Robot
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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