Project: Extracting Bio-Mechanics and Kinematics from Video

Kinematic Analysis of Humans and Animals from Video

Whether it is to understand animal locomotion, or to assess human motion, the most natural mechanism for doing so is the video camera (or more recently structured light sensors). Cameras are easily setup, configured, and put to use to record movements. the problem arises when it is time to analyze the data. Manual processes can be time consuming. An automated processing algorithm is the ideal scenario. However state-of-the-art computer vision algorithms often cannot handle real world video, especially from experimental setups that are constrained by practicalities associated with the environment surrounding the human or animal. Our research here seeks to apply solid control engineering practices to state-of-the-art algorithms in order to improve their robustness and reliability so that they may be used to inform kinematic analysis.

Students: Miguel Serrano.


This research was supported in part by the National Science Foundation (#0846750). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.