At the 'International Conference on Control, Automation and Information Sciences' (ICCAIS 2024) recently held in Ho Chi Minh City, Vietnam, Korea and Australia collaborated to present foundational AI technology applicable to autonomous driving, smart cities, and more. ICCAIS, hosted by the Institute of Electrical and Electronics Engineers (IEEE), is an international conference attended by world-class researchers in △control △robotics △automation systems △information sciences. At this conference, industry and academic representatives from Korea and Australia joined forces to present the project 'Efficient 3D Multi-View Multi-Object Tracking with Labeled Multi-Bernoulli Approximation'. The project uses the 'Labeled Multi-Bernoulli Approximation' to efficiently handle multi-view data and multi-object tracking in 3D environments. It focuses on integrating and analyzing data collected from various viewpoints and, in particular, accurately identifying and tracking objects in complex environments. The research began in March 2024. The research goal is to raise AI technology interoperability through Korea-Australia technology exchange and joint research and to contribute to the global technology ecosystem. Multi-view multi-object tracking, the core technology of the research, is characterized by being applicable in many areas, including △autonomous driving △smart cities △security systems. Through Bayesian methods, it greatly raises the accuracy and efficiency of 3D multi-object tracking, and by precisely analyzing object movement patterns and interactions, it can overcome the limitations of existing tracking technologies. Choi Hyun-jin, CTO (Chief Technology Officer) of AIBIZ, who took part in the research, said, "This technology will contribute to solving various problems arising from industrial data and open up new technical possibilities," adding, "By presenting a new paradigm for global AI research, we expect academic and industrial impact." The research team is focusing on maximizing efficiency by establishing regular checkpoints and a collaboration system to produce results in a short period. The project is also drawing attention as a successful model of international cooperation as well as technological innovation. Participants in the research included △Chae Young-hoon, CEO of Season △Dr. Nguyen, Dr. Shin Chang-beom, and Dr. Tran Tien of Curtin University △Choi Hyun-jin, CTO of AIBIZ.