Yulong Qiao

  • Citations Per Year
Learn More
The stochastic signal model, hidden Markov model (HMM), is a probabilistic function of the Markov chain. In this letter, we propose a general nth-order HMM based dynamic texture description and classification method. Specifically, the pixel intensity sequence along time of a dynamic texture is modeled with a HMM that encodes the appearance information of(More)
Dynamic texture is an extension of texture to the spatio-temporal domain. The motion property is one of the most important characteristics in dynamic texture analysis. This paper proposes a dynamic texture classification method based on the block-based motion estimation method and the statistical feature matrix. The method makes use of the block-based(More)
Aurora-A kinase functions mainly in centrosome maturation, separation and spindle formation. It has also been found to be amplified or overexpressed in a range of solid tumors, which is linked with tumor progression and poor prognosis. Importantly, Aurora-A inhibitors are being studied in a number of ongoing clinical trials. However, whether and how(More)
The edge-based active contour model has been one of the most influential models in image segmentation, in which the level set method is usually used to minimize the active contour energy function and then find the desired contour. However, for infrared thermal pedestrian images, the traditional level set-based method that utilizes the gradient information(More)
Dynamic texture segmentation is to partition a video (image sequence) comprising of different dynamic texture into disjointed regions with uniformity and consistency property. This paper introduces a Markov random field based dynamic texture segmentation algorithm using the inter-scale context. The method models the label field and the observed field with(More)
The opening positioning for railway oil tank wagon using machine vision technology is an effective way to load petroleum automatically. To overcome the adverse effects produced by illumination changes, various types of railway tank wagon and various positions of camera, a shape matching positioning method is proposed in this paper. Due to the shape of the(More)
Speech communication has several steps of encoding, transmission, and decoding. In each step, various acoustic distortions are inevitably induced by non-linguistic factors such as differences of age, gender, microphone, line, room, auditory characteristics of a hearer’s ears, etc. In spite of this large variability, humans can perform very precise speech(More)
Multiresolution models such as the wavelet-domain hidden Markov tree (HMT) model provide a powerful approach for image modeling and processing because it captures the key features of the wavelet coefficients of real-world data. It is observed that the Laplace distribution is peakier in the center and has heavier tails compared with the Gaussian(More)
  • 1