HMM-Based Image Sequences Filtering
نویسندگان
چکیده
It is possible to divide image sequences into some states, where each state has same motion phase. By applying such operation before recognition processing, accuracy of the recognition will be improved. New image sequence ltering by using HMM is proposed in this paper, which can divide image sequences into multiple states. Performance of the ltering is improved by doing re-learning of the observation symbol probability. In addition, e ectiveness of the proposed method is shown by human identi cation using image sequences.
منابع مشابه
A PRACTICAL APPROACH TO REAL-TIME DYNAMIC BACKGROUND GENERATION BASED ON A TEMPORAL MEDIAN FILTER
In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...
متن کاملA New Fast and Efficient HMM-Based Face Recognition System Using a 7-State HMM Along With SVD Coefficients
In this paper, a new Hidden Markov Model (HMM)-based face recognition system is proposed. As a novel point despite of five-state HMM used in pervious researches, we used 7-state HMM to cover more details. Indeed we add two new face regions, eyebrows and chin, to the model. As another novel point, we used a small number of quantized Singular Values Decomposition (SVD) coefficients as feature...
متن کاملGeological noise removal in geophysical magnetic survey to detect unexploded ordnance based on image filtering
This paper describes the application of three straightforward image-based filtering methods to remove the geological noise effect which masks unexploded ordnances (UXOs) magnetic signals in geophysical surveys. Three image filters comprising of mean, median and Wiener are used to enhance the location of probable UXOs when they are embedded in a dominant background geological noise. The study ar...
متن کاملA New Iterative Fuzzy-Based Method for Image Enhancement (RESEARCH NOTE)
This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. In the proposed filtering algorithm, the rule membership functions are tuned iteratively in order to preserve the image edges. Several test experiments we...
متن کاملImage Denoising Using Anisotropic Diffusion Equations on Reflection and illumination Components of Image
This paper proposes a new hybrid method based on Homomorphic filtering and anisotropicdiffusion equations for image denoising. In this method, the Homomorphic filtering extracts the reflectionand illumination components of a noisy image. Then a suitable image denoising method based onanisotropic diffusion is applied to each components with its special user-defined parameters .This hybridscheme ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000