1. A pose classification apparatus comprising: a first image analyzer and a second image analyzer which are configured to estimate a body part for each pixel of an input image including a human body; a body part decider configured to calculate reliabilities of analysis results of the first image analyzer and the second image analyzer, and configured to decide the body part for each pixel of the input image based on the calculated reliabilities; and a pose estimator configured to estimate a pose of the human body included in the input image based on the decided body part for each pixel, wherein the first image analyzer and the second image analyzer each learn based on different data, and wherein the second image analyzer is a random forest classifier configured to learn at least a portion of poses based on a relatively larger amount of data than the first image analyzer, and which has a higher recognition rate of at least the portion of poses than the first image analyzer.