We present a novel Automatic Target Recognition (ATR) system using open-vocabulary object detection and classification models. A primary advantage of this approach is that target classes can be defined just before runtime by a non-technical end user, using either a few natural language text descriptions of the target, or a few image exemplars, or both. Nuances in the desired targets can be expressed in natural language, which is useful for unique targets with little or no training data. We also implemented a novel combination of several techniques to improve performance, such as leveraging the additional information in the sequence of overlapping frames to perform tubelet identification (i.e., sequential bounding box matching), bounding box re-scoring, and tubelet linking. Additionally, we developed a technique to visualize the aggregate output of many overlapping frames as a mosaic of the area scanned during the aerial surveillance or reconnaissance, and a kernel density estimate (or heatmap) of the detected targets. We initially applied this ATR system to the use case of detecting and clearing unexploded ordinance on airfield runways and we are currently extending our research to other real-world applications.

This paper presents an interactive home-based adaptive mixed reality system (HAMRR) for upper extremity stroke rehabilitation. This home-based system is an extension of a previously designed and currently implemented clinical system. The goal of HAMRR is to restore motor function to chronic stroke survivors by providing an engaging long-term reaching task therapy at home. The HAMMR system tracks movement of the wrist and torso, and provides real-time, post-trial, and post-set multimodal feedback to encourage the stroke survivor to self-assess his or her movement and engage in active learning of new movement strategies. This experiential media system uses a computational adaptation scheme to create a continuously challenging and unique multi-year therapy experience through the use of multiple, integrated audio and visual feedback streams. Novel design features include creating an over-arching story for the participant, the ability of the system to adapt the feedback over multiple time scales, and the ability for this system to integrate into any home.