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Vision-based detection and recognition studies have been recently achieving highly accurate performance and were able to bridge the gap between research and real-world applications. Beyond these well-explored detection and recognition capabilities of modern algorithms, vision-based forecasting will likely be one of the next big research topics in the field of computer vision and artificial intelligence. Vision-based prediction is one of the critical capabilities of humans, and potential success of automatic vision-based forecasting will empower and unlock human-like capabilities in machines and robots.
One important application is in autonomous driving technologies, where vision-based understanding of a traffic scene and prediction of movement of traffic actors is a critical piece of the autonomous puzzle. Various sensors such as camera and lidar are used as “eyes” of a vehicle, and advanced vision-based algorithms are required to allow safe and effective driving. Another area where vision-based prediction is used is medical domain, allowing deep understanding and prediction of future medical conditions of patients. Especially with the recent introduced Metaverse from Meta (or Facebook), a network of 3D virtual worlds focused on social connection, this topic has become more important. However, despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems.
In this presentation, we will discuss recent approaches and research trends not only in anticipating human behavior understanding from videos but also precognition in multiple other visual applications, such as: healthcare, human face aging prediction, autonomous drone forecasting and tracking, etc.
The DART Monthly Webinar Series provides an opportunity for project faculty and students to share short presentations about their work followed by open discussion and questions. Webinar topics will rotate between project management items like reporting and overviews of DART as a project, as well as specific research topics, important research results, and more.
All webinars will be recorded and made available after presentation. Please check https://dartproject.org/webinars/ for recordings.
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