Moving object detection is a key to intelligent video analysis. On the one hand, what moves is not only interesting objects but also noise and cluttered background. On the other hand, moving objects without rich texture are prone not to be detected. So there are undesirable false alarms and missed alarms in many algorithms of moving object detection. To reduce the false alarms and missed alarms...

In this project we are working with a security company that is a mayor player in secure alarm transmission. Alarms can be triggered by devices installed at banks, jewelry stores, private homes, etc. As already stated initially, around 90% of alarms are so-called false alarms and are due to technical reasons or unwanted human error. The challenge of our project is to significantly reduce the amo...

Despite improvements in forecasting extreme weather events, noncompliance with weather warnings among the public remains a problem. Although there are likely many reasons for noncompliance with weather warnings, one important factor might be people's past experiences with false alarms. The research presented here explores the role of false alarms in weather-related decision making. Over a serie...

False alarms triggered by security sensors incur high costs for all parties involved. According to police reports, a large majority of alarms are false. Recent advances in machine learning can enable automatically classifying alarms. However, building a scalable alarm verification system is a challenge, since the system needs to: (1) process thousands of alarms in real-time, (2) classify false ...

BACKGROUND The number of devices with alarms has multiplied in recent years, causing alarm fatigue in bedside clinicians. Alarm fatigue is now recognized as a critical safety issue. OBJECTIVE To determine if attitudes and practices related to clinical alarms have changed since 2005. METHODS The Healthcare Technology Foundation's Clinical Alarms Committee developed an online survey for hospi...