Anomaly Detection in Moving Object

With recent advances in sensory and mobile computing technology, many interesting applications involving moving objects have emerged. One of them is identification of suspicious movements: an important problem in homeland security. The objects in question can be vehicles, airplanes, or ships; however, due to the sheer volume of data and the complexities within, manual inspection of the moving objects would require too much manpower. Thus, an automated or semi-automated solution to this problem would be very helpful. That said, it is challenging to develop a method that can efficiently and effectively detect anomalies. The problem is exacerbated by the fact that anomalies may occur at arbitrary levels of abstraction and be associated with multiple granularity of spatiotemporal features.

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