CAREER: Combined Shape- and Intensity-Based Methods for Tracking

本项目致力于研究通用视觉跟踪系统。将使用基于模型的方法，强调要跟踪的特定对象类别。跟踪过程将基于求解描述曲线流动的偏微分方程组。将根据包含在所述曲线区域内的强度信息来开发用于执行跟踪的方案。通过对所使用的假设进行泛化并通过对相关PDE的正式分析来扩展通用框架，将生成更快、更有效和更健壮的追踪器。还将解决基于形状和强度的信息组合的更一般问题；如上所述，该算法还将寻找与它所知道的关于要跟踪的对象的类别相匹配的强度模式。该项目的教育部分包括课程开发、本科生自主学习，以及让大量学生接触到由PI设计的实验系统。

This project focuses on studying general purpose visual tracking systems. A model-based approach will be used, emphasizing the particular class of objects to be tracked. The tracking procedure is to be based on solving partial differential equations describing curve flow. Schemes for performing tracking will be developed based on intensity information, which is contained within the region of the curve in question. Faster, more effective, and more robust trackers will be generated by extending the general framework via generalization of the assumptions used, and through formal analysis of the related PDEs. Also addressed will be the more general problem of combining shape and intensity-based information; as above, the algorithm will also look for intensity patterns that match what it knows about the class of objects to be tracked. The education part of the project includes curriculum development, undergraduate independent studies, and exposure of a large number students to an experimental system designed by the PI.