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This paper tackles instrument tracking and 3D visualization challenges inminimally invasive surgery (MIS), crucial for computer-assisted interventions.Conventional and robot-assisted MIS encounter issues with limited 2D cameraprojections and minimal hardware integration. The objective is to track andvisualize the entire surgical instrument, including shaft and metallic clasper,enabling safe navigation within the surgical environment. The proposed methodinvolves 2D tracking based on segmentation maps, facilitating creation oflabeled dataset without extensive ground-truth knowledge. Geometric changes in2D intervals express motion, and kinematics based algorithms process resultsinto 3D tracking information. Synthesized and experimental results in 2D and 3Dmotion estimates demonstrate negligible errors, validating the method forlabeling and motion tracking of instruments in MIS videos. The conclusionunderscores the proposed 2D segmentation technique's simplicity andcomputational efficiency, emphasizing its potential as direct plug-in for 3Dvisualization in instrument tracking and MIS practices.

Plug-in for visualizing 3D tool tracking from videos of Minimally Invasive Surgeries