Human action recognitions in video
In some recent years, local space-time features technique has become an popular method for human action recognition. Many studies have been carried out, with many different types of detectors/descriptors proposed which gave promising result on traditional RGB videos. However, there have been few stu...
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sg-ntu-dr.10356-545912023-07-07T16:13:20Z Human action recognitions in video Vu, Truong Thinh. Wang Gang School of Electrical and Electronic Engineering DRNTU::Engineering In some recent years, local space-time features technique has become an popular method for human action recognition. Many studies have been carried out, with many different types of detectors/descriptors proposed which gave promising result on traditional RGB videos. However, there have been few studies on the usefulness of this technique for action recognition with depth video. In this project, we will evaluate the performance of the Harris 3D detector for both RGB and depth video in a common setup Bachelor of Engineering 2013-06-24T06:17:18Z 2013-06-24T06:17:18Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54591 en Nanyang Technological University 23 p. application/pdf |
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DRNTU::Engineering Vu, Truong Thinh. Human action recognitions in video |
| description |
In some recent years, local space-time features technique has become an popular method for human action recognition. Many studies have been carried out, with many different types of detectors/descriptors proposed which gave promising result on traditional RGB videos. However, there have been few studies on the usefulness of this technique for action recognition with depth video. In this project, we will evaluate the performance of the Harris 3D detector for both RGB and depth video in a common setup |
| author2 |
Wang Gang |
| author_facet |
Wang Gang Vu, Truong Thinh. |
| format |
Final Year Project |
| author |
Vu, Truong Thinh. |
| author_sort |
Vu, Truong Thinh. |
| title |
Human action recognitions in video |
| title_short |
Human action recognitions in video |
| title_full |
Human action recognitions in video |
| title_fullStr |
Human action recognitions in video |
| title_full_unstemmed |
Human action recognitions in video |
| title_sort |
human action recognitions in video |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10356/54591 |
| _version_ |
1772828618111582208 |