Learn More
Introduction When a fire occurs, minimum detection latency is crucial to minimizing damage and saving lives. Current smoke sensors inherently suffer from the transport delay of the smoke from the fire to the sensor. A video smoke detection system would not have this delay. Further, video is a volume sensor, not a point sensor. A point sensor looks at a(More)
Neural network based adaptive schemes for performing multiuser detection in a direct-sequence spread-spectrum code division-multiple-access communication system are investigated in this paper. Simulation and analysis provide the good basis of understanding the advantage and disadvantage between conventional techniques and neural networks in CDMA scope. The(More)
— Detecting objects of interest and obtaining their clear visual appearances are critical requirements for visual surveillance systems. In this paper we propose a novel algorithm to detect foreground objects from video sequences with fog and then enhance their visibilities. First, we propose a novel metric to measure the image fog property to decide whether(More)
In this paper, we introduce spatiotemporal energy modeling for foreground segmentation in multiple object tracking, a high accuracy and real-time foreground target extraction algorithm. From a single video sequence with multiple moving objects and stationary background, our algorithm combines spatial (color distribution) and temporal (variety between two(More)
Forewarning to avoid potential traffic accidents is of great importance for Intelligent Transportation Systems (ITS). Under pedestrian and vehicle mixed traffic conditions like urban road intersections, traffic monitoring and forewarning have especially important values. Therefore in this paper a novel urban traffic information analysis and forewarning(More)