Radiography imaging protocols focus on particular body regions, therefore producing
images of great similarity and yielding recurrent anatomical structures across patients. To …

Since 2015, there has been an increase in articles on anomaly detection in robotic systems,
reflecting its growing importance in improving the robustness and reliability of the …

We present a novel trajectory traversability estimation and planning algorithm for robot
navigation in complex outdoor environments. We incorporate multimodal sensory inputs …

Formulating learning systems for the detection of real-world anomalous events using only
video-level labels is a challenging task mainly due to the presence of noisy labels as well as …

The increasing popularity of compact and inexpensive cameras, eg dash cameras, body
cameras, and cameras equipped on robots, has sparked a growing interest in detecting …

Person-tracking robots have many applications including security, surveillance, and
autonomous driving. Despite the abundance of uniform appearance in many contexts and …

In the era of the Internet of Everything, the massive Internet of Things (IoT) data bring
multiple challenges to IoT development, high system availability, and ultimately the quality of …

Radiography imaging protocols focus on particular body regions, therefore producing
images of great similarity and yielding recurrent anatomical structures across patients …

In robotics and computer vision communities, extensive studies have been widely conducted
regarding surveillance tasks, including human detection, tracking, and motion recognition …

Human monitoring of surveillance cameras for anomaly detection may be a monotonous
task as it requires constant attention to judge if the captured activities are anomalous or …