| |
|
|
|
Iterative Human Pose Estimation based on A New Part Appearance Model |
|
|
|
PP: 311-317 |
|
|
|
Author(s) |
|
|
|
Wang Hao,
Meng Fanhui,
Fang Baofu,
|
|
|
|
Abstract |
|
|
| Human pose estimation has become a hot topic in the field of computer vision , it can be used in human activity analysis,
video, and any other field ,it main purpose is that detect the position, scale and direction of parts of people .Because of the result
in the iterative human pose estimation based on tree-structure model is susceptible to the background, In this paper(consider static
images),part appearance model is improved, an appearance model based on colour and texture for iterative human pose estimation
is proposed, experimental results show this method give a better performance and accuracy while reduce the search space by people
detector and grab cut. |
|
|
|
|
 |
|
