14. The method of claim 13 , wherein the step of tracking the catheter electrode model in a second frame of the fluoroscopic image sequence comprises: tracking the catheter electrode model for the first part in the second frame based on the electrode position candidates detected using the at least one trained electrode detector; sequentially tracking the catheter electrode model for each remaining part in order from the first part to the last part in the second frame based on the tracked catheter electrode model for the previous part; and detecting a first combined catheter electrode model of all of the parts in the second frame based on the sequential tracking of the catheter electrode models from the first part to the last part.
14. The method of claim 13 , wherein the step of tracking the catheter electrode model in a second frame of the fluoroscopic image sequence comprises: tracking the catheter electrode model for the first part in the second frame based on the electrode position candidates detected using the at least one trained electrode detector; sequentially tracking the catheter electrode model for each remaining part in order from the first part to the last part in the second frame based on the tracked catheter electrode model for the previous part; and detecting a first combined catheter electrode model of all of the parts in the second frame based on the sequential tracking of the catheter electrode models from the first part to the last part. 16. The method of claim 14 , wherein the step of tracking the catheter electrode model in a second frame of the fluoroscopic image sequence further comprises: tracking the catheter electrode model for the last part in the second frame based on the electrode position candidates detected using the at least one trained electrode detector; sequentially tracking the catheter electrode model for each remaining part in reverse order from the last part to the first part in the second frame based on the tracked catheter electrode model for the previously tracked part; and detecting a second combined catheter electrode model of all of the parts in the second frame based on the sequential tracking of the catheter electrode models in reverse order from the last part to the first part; and selecting one of the first combined catheter electrode model and the second combined catheter electrode model having the highest probability value.