Particle filter is a probability estimation method based on Bayesian framework and it has unique advantage to describe the target tracking non-linear non-Gaussian. In this paper, Firstly, analyses particle degeneracy sample impoverishment in multi-target algorithm, secondly, applies Markov Chain Monte Carlo (MCMC) improve re-sampling process enhance performance of algorithm. Finally, proposed certificated by experiment that multiple targets similar appearance complex motion. The results show...

With the rapid growth of China's transportation, traffic accidents were in a growing trend year by year, and tracking hit-and-run vehicles had caught hotspot people concern. Therefore, how to reduce road improve safety level become important issues that need be resolved. This paper whose research objects are is based on intelligent accident treatment system. After researching application Mean shift Kalman filter field target tracking, this presented an effective method which combined...

Particle filter is a probability estimation method based on Bayesian framework and it has unique advantage to describe the target tracking non-linear non-Gaussian. In this study, firstly, analyses particle degeneracy sample impoverishment in multi-target algorithm secondly, applies Markov Chain Monte Carlo (MCMC) improve re-sampling process enhance performance of algorithm.

The main objective of image segmentation is to divide an into homogeneous regions for further analysis. This a significant and crucial task in many applications such as medical imaging. Deep learning (DL) methods have been proposed widely used segmentation. However, these usually require large amount manually segmented data training suffer from poor interpretability (known the black box problem). classical Mumford-Shah (MS) model effective provides piece-wise smooth approximation original...

Aiming at the problems of low segmentation accuracy noise image, poor immunity existing models and adaptability to complex environment, a image algorithm using anisotropic diffusion nonconvex functional was proposed. First, focusing on “staircase effect”, introduced into energy model for smooth denoising. Second, validity were established by proving that there no global minimum in solution space model; improved then used obtain clear edge while maintaining integrity. Third, obtained from...

Abstract In the inverse problem of image processing, we have witnessed that non-convex and non-smooth regularizers can produce clearer edges than convex ones such as total variation (TV). This fact be explained by uniform lower bound theory local gradient in regularization. recent years, although it has been numerically shown nonlocal various patches based methods recover textures well, still desire a theoretical interpretation. To this end, propose block regularization model on patches. By...

It's difficult to find contact from the image that was photographed by high-speed sampling system because of light reflection characteristic switching arc, and interrupter. It do enhancement process arc algorithm histogram local histogram. In order on same time can interrupupter's detail in arcing process. The simulation result shows contace arc's relative position be observed clearly this method.

The traditional mean shift algorithm used fixed kernels or symmetric kernel function, which will cause the target tracking lost failure. based on with adaptive bandwidth was proposed. Firstly, signed distance constraint function introduced to produce anisotropic function. This satisfies that value of region outside is zero, provides accurate window for tracking. Secondly, calculate center template, theory basis sum vector weights from sample point in zero. Thirdly, templates update...

The desire of looking for a more natural and efficient interactive method that human cantered are increasing recently. According to this status, paper try explore new human-computer system based on vision recognition, which conforms behaviour characteristic. This adopts RBF artificial neural network Hidden Markov model, locates user's input focus combined with head orientation the direction where finger pointed to. In way, recognition could be accuracy speed will improved. It has wide...

In this paper, a method that realizing remote measuring and communication of data control information via CAN/Ethernet embedded gateway in electric power monitoring system based on CAN bus was proposed. The hardware composed LPC2294 ARM MCU which include four controller bus, RTL8019AS NIC transceiver. software by three parts: protocol conversion module, module Ethernet module. order to improve the stabilization reliability system, operating RTOS mu C/OS-II employed manage schedule tasks.