Name
Abstract | ||
|---|---|---|
In this paper, we describe a technique for representing and recognizing human motions using directional motion history images.
A motion history image is a single human motion image produced by superposing binarized successive motion image frames so
that older frames may have smaller weights. It has, however, difficulty that the latest motion overwrites older motions, resulting
in inexact motion representation and therefore incorrect recognition. To overcome this difficulty, we propose directional
motion history images which describe a motion with respect to four directions of movement, i.e. up, down, right and left, employing optical flow. The directional motion history images are thus a set of four motion history
images defined on four optical flow images. Experimental results show that the proposed technique achieves better performance
in the recognition of human motions than the existent motion history images. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s10015-008-0536-2 | Artificial Life and Robotics |
Keywords | DocType | Volume |
motion representation · motion recognition · motion history image · optical fl ow,Motion representation,Motion recognition,Motion history image,Optical flow | Journal | 13 |
Issue | ISSN | Citations |
1 | 1614-7456 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masayuki Fukumoto | 1 | 0 | 0.34 |
| Takehito Ogata | 2 | 41 | 4.60 |
| Joo Kooi Tan | 3 | 105 | 29.88 |
| Marzuki Khalid | 4 | 3 | 1.81 |
| Seiji Ishikawa | 5 | 342 | 49.06 |