Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects

Abstract. With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. With such data, it becomes possible to automatically identify suspicious behavior in object movements. Anomaly detection in massive moving objects has many important applications, especially in surveillance, law enforcement, and homeland security. Due to the sheer volume of spatiotemporal and non-spatial data (such as weather and object type) associated with moving objects, it is challenging to develop a method that can efficiently and effectively detect anomalies of object movements in complex scenarios. The problem is further complicated by the fact that anomalies may occur at various f abstraction and be associated with different time and location granularities. In this paper, we analyze the problem of anomaly detection in moving objects and propose an efficient and scalable classification method, called motion-classifier, which proceeds in th...

• Type: Journal
• Year: 2006
• Where: ISI
• Authors: Xiaolei Li, Jiawei Han, Sangkyum Kim
• Keywords: Anomaly Detection, ISI 2006, Massive Moving Objects, Object Movements, Security Privacy