This paper presents a novel blur tolerant decorrelation scheme for local phase quantization (LPQ) texture descriptor. As opposed to previous methods, the introduced model can be a...
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
Abstract--A new generic scheme for incremental implementations of distance transforms (DT) is presented: Incremental Distance Transforms (IDT). This scheme is applied on the citybl...
We propose a novel method to estimate the object that a user is focusing on by using the synchronization between the movements of objects and a user's eyes as a cue. We first ...
We propose a general framework for simultaneous segmentation and modelling of signals based on an Equipartition Principle (EP). According to EP, the signal is divided into segment...
This paper concentrates on speech duration distributions that are usually invariant to noises and proposes a noise-robust and real-time voice activity detector (VAD) using the hid...
Xianglong Liu, Yuan Liang, Yihua Lou, He Li, Baoso...
—When an image of a scene is captured by a camera through a fence, a blurred fence image interrupts objects in the scene. In this paper, we propose a method for a fence removal f...
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
A realistic appearance-based representation of sideview gait sequences is here introduced. It is based on a prior method where a set of appearance-based features of a gait sample ...