TrackOR: Towards Personalized Intelligent Operating Rooms Through Robust Tracking
Providing intelligent support to surgical teams is a key frontier in automated surgical scene understanding, with the long-term goal of improving patient outcomes. Developing personalized intelligence for all staff members requires maintaining a consistent state of who is located where for long surgical procedures, which still poses numerous computational challenges. We propose TrackOR, a framework for tackling long-term multi-person tracking and re-identification in the operating room. TrackOR uses 3D geometric signatures to achieve state-of-the-art online tracking performance (+11% Association Accuracy over the strongest baseline), while also enabling an effective offline recovery process to create analysis-ready trajectories. Our work shows that by leveraging 3D geometric information, persistent identity tracking becomes attainable, enabling a critical shift towards the more granular, staff-centric analyses required for personalized intelligent systems in the operating room. This new capability opens up various applications, including our proposed temporal pathway imprints that translate raw tracking data into actionable insights for improving team efficiency and safety and ultimately providing personalized support.
Code (0)
등록된 구현이 없습니다.
Tasks
Scene UnderstandingSimilar Papers 제목 키워드 기반
Mitigating Biases in Surgical Operating Rooms with Geometry
Deep neural networks are prone to learning spurious correlations, exploiting dataset-specific artifacts rather than meaningful features for prediction. In surgical operating rooms (OR), these manifest through the standar…
Adaptation of Surgical Activity Recognition Models Across Operating Rooms
Automatic surgical activity recognition enables more intelligent surgical devices and a more efficient workflow. Integration of such technology in new operating rooms has the potential to improve care delivery to patient…
Activity RecognitionDomain AdaptationSemi-supervised Domain AdaptationORB: Operating Room Bot, Automating Operating Room Logistics through Mobile Manipulation
Efficiently delivering items to an ongoing surgery in a hospital operating room can be a matter of life or death. In modern hospital settings, delivery robots have successfully transported bulk items between rooms and fl…
Object RecognitionMotion PlanningTowards Intelligent Speech Assistants in Operating Rooms: A Multimodal Model for Surgical Workflow Analysis
To develop intelligent speech assistants and integrate them seamlessly with intra-operative decision-support frameworks, accurate and efficient surgical phase recognition is a prerequisite. In this study, we propose a mu…
Surgical phase recognitionPerOS: Personalized Self-Adapting Operating Systems in the Cloud
Operating systems (OSes) are foundational to computer systems, managing hardware resources and ensuring secure environments for diverse applications. However, despite their enduring importance, the fundamental design obj…