As new computer architectures are developed to exploit large-scale data-level parallelism, techniques are needed to retarget legacy sequential code to these platforms. Sequential ...
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
On-line transaction processing exhibits poor memory behavior in high-end multiprocessor servers because of complex sharing patterns and substantial interaction between the databas...
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...