This CVPR workshop is focused on visual human motion understanding. Identifying where people are in a scene (People Detection), how they are moving (People Tracking), and where they will go to in the future (Motion Prediction) is essential for a number of applications. For example, safe mobile robot navigation (including autonomous driving) depends on robots (cars) being able to recognize where nearby pedestrians are and what they might do next. Likewise, human motion understanding is key for smart surveillance, athletic performance analysis, and VR applications, among others.
This workshop is a full-day event to be held in conjunction with CVPR 18. In this workshop, we want to bring together the computer vision community to envision ways to advance the state-of-the-art in visual human motion understanding. Due to the complexity of this problem, we believe that we should build bridges to unite the communities working on a wide range of interconnected tasks, such as people detection, tracking, and motion prediction. For example, tracking can provide information about the past motion of individuals and, thus, help trajectory forecasting approaches. At the same time, motion prediction can aid in the design of intelligent tracking systems. Moreover, people detection provides fundamental information for both tracking and prediction. But in the presence of occlusions in complex environments, tracking and prediction can help estimate where people might be located next. Our workshop is trying to help solve these different tasks, which are all important, open problems in computer vision.