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A real time solution of tracking daily lung tumor motion is proposed in this paper in order to achieve an accurate dose delivery for radiation therapy as recently developed cone-beam computed tomography (CBCT) technique is not able to catch tumor motions due to the patient's respiration. We develop a novel GPU-based fast digitally reconstructed radiograph (DRR) generation algorithm which enables an instant DRR computation and rendering from patients' radiation therapy treatment planning CTs. In the meantime, classic image correlation algorithm is extended as the main method to locate tumors in X-ray 2D projections, the raw data of CBCT scans. With the GPU-aided implementation, this algorithm is capable of capturing movement of lung tumors as fast as the CBCT image acquisition in real time, which greatly facilitates the radioactive treatment.