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Real time human recognition, tracking and servoing for vision-based autonomous robot cart | |
Author | Ya Min Mo Mo |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Mechatronics |
Publisher | Asian Institute of Technology |
Abstract | In this study, Kinect Xbox360 sensor has been used to recognize and track a previously identified human target, and Arduino Mega is used to control servoing of the cart. The trolley cart has been modified to became a suitable platform for Kinect attach and laptop on cart for practicality and simplicity. Human recognition and tracking algorithm has been developed using C# .NET visual studio. Using the target recognition algorithm, the target is recognized after the Kinect interfacing with the target has been interrupted by any blockage and the cart keeps following the target in time. |
Year | 2015 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Industrial Systems Engineering (DISE) |
Academic Program/FoS | Microelectronics (ME) |
Chairperson(s) | Manukid Parnichkun; |
Examination Committee(s) | Bohez, Erik L. J. ;Mongkol Ekpanyapong; |
Scholarship Donor(s) | Norwegian Ministry of Foreign Affairs; |