We present a novel unsupervised deep learning framework for anomalous event detection in complex video scenes. While most existing works merely use hand-crafted appearance and motion features, we propose Appearance and Motion DeepNet (AMDN) which utilizes deep neural networks to automatically learn feature representations. To exploit the complementary information of both appearance and motion p...

Standard and dynamic current clamps were used to emulate dendritic GABA-Aergic postsynaptic currents (IPSCs) in a reconstructed thalamic relay neuron. The variability of somatically recorded single events was an order of magnitude smaller than reported in experimental work, suggesting that experimentally observed variability of miniature IPSCs re#ects variable synaptic strength rather than "lte...

Object detection is always the first important step in video surveillance applications. This paper presents an automated moving object detection technique using background subtraction method. First, a background module generated from the video sequence effectively. Furthermore, the moving objects are detected by comparing current and background frame. Many background subtraction approaches are ...

In this note, a new performance preserving controller order reduction method is proposed. Here performance preservation indicates that the norm bound of the closed loop transfer function with reduced-order controller is not greater than the norm bound of the closed loop transfer function with full order controller. We assume additive perturbations to the closed-loop transfer function and obtain...