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To segment piecewise smooth images on implicit surfaces, Potts model which is a general variational model for planar multiphase image segmentation is extended to the one for image segmentation on implicit surfaces. Potts model is reformulated not only on implicit closed surfaces but also on implicit open surfaces. An improved dual method is proposed to speed up the computation process. Some numerical...
Crowd analytics is becoming a highly desirable feature of Intelligent Video Surveillance (IVS) applications. In this paper we propose a new, practical approach that adds very little computational and configuration overhead to an IVS system. The approach extends a standard IVS system, using available video content analysis data and camera calibration information to provide accurate human count estimation...
Background modeling is a fundamental yet challenging issue in video surveillance. Traditional methods usually adopt single feature type to solve the problem, while the performance is usually unsatisfactory when handling complex scenes. In this paper, we propose a multi-scale framework, which combines both texture and intensity feature, to achieve a robust and accurate solution. Our contributions are...
In this paper, we focus on three different polynomial formats used in power amplifiers (PAs) pre-distortions. The nonlinearity of AM/AM and AM/PM introduced by power amplifiers are revealed by the transfer characteristics of PAs. We pick out the most effective polynomial format in evaluation of relative MSE (RMSE), the convergence speeds and the power spectral density (PSD). Such effective polynomial...
To investigate the tail-slap loads on supercavitating projectiles, a simple model for cavity-fluid region is presented based on Logvinovich's Principle. And a series of simulations of fluid - structure interaction (FSI) were done to determine the effects of the slenderness ratio of projectiles on the tail-slap loads. The results show that the impact duration increases as the slenderness ratio increases...
The existing approaches for object detection from remote sensing images usually have the assumptions that the location is already known or determined manually. Our paper proposes an automatic and rapid method to detect objects from satellite image with large size, which is the precondition for detailed object recognition. Since feature based method usually performs better and faster than pixel based...
This paper proposes a new color-based method for forest fire segmentation from video image. Two kinds of color features including intensity value and color distribution are used. In segmentation based on V value of HSV color model, the lower threshold is defined from experience, and the higher threshold value is computed automatically, thus the possible fire regions can be divided into two subsets...
In this study, we propose a novel sound localization method, in which the feature differences of observation signals obtained from the two microphones are used. The features are learned based on the algorithm of the SOM (self organizing maps) and the SOM of 3-D sound source direction is made. Furthermore, the five kinds of objects sound from each direction are used to conforming experiment and the...
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