Putting the pieces together: Connected Poselets for Human Pose Estimation
Brian Holt, Eng-Jon Ong, Helen Cooper and Richard Bowden
In: 1st IEEE Workshop on Consumer Depth Cameras for Computer Vision, 12 Nov 2011, Barcelona, Spain.
We propose a novel hybrid approach to static pose estimation called Connected Poselets. This representation combines the best aspects of part-based and example-based estimation. First detecting poselets extracted from the training data; our method then applies a modified Random Decision Forest to identify Poselet activations. By combining keypoint predictions from poselet activitions within a graphical model, we can infer the marginal distribution over each keypoint without any kinematic constraints. Our approach is demonstrated on a new publicly available dataset with promising results.
|EPrint Type:||Conference or Workshop Item (Oral)|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Deposited By:||Brian Holt|
|Deposited On:||21 February 2012|