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https://hdl.handle.net/10356/71973| Title: | Human detection and tracking using camera (Part II) | Authors: | Chakravarthi, M. Rubern | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems | Issue Date: | 2017 | Abstract: | In this project, the author learnt about human detection and tracking using OpenCV, Python and MATLAB. The author implemented solutions in Python using OpenCV to handle computer vision tasks such as face tracking, motion detection and tracking as well as human detection and tracking. The author also tested the feasibility of using the Raspberry Pi as platform for computer vision tasks. | URI: | http://hdl.handle.net/10356/71973 | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FYP Final Report A3009-161.pdf Restricted Access | Main Article | 1.39 MB | Adobe PDF | View/Open |
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