text: We show that the suggested hybrid proba-bilistic model -LRB- which combines global variables , like translation , with local variables , like relative positions and appearances of body parts -RRB- , leads to : -LRB- i -RRB- faster convergence of learning phase , -LRB- ii -RRB- [[ robustness ]] to occlusions , and , -LRB- iii -RRB- higher << recognition rate >> .