This paper presents an approach for human activity recognition by representing the frames of the video sequence with the distribution of local motion features and their spatiotemp...
In this paper, a new method for eye gaze tracking is proposed under natural head movement. In this method, Local-Binary-Pattern Texture Feature (LBP) is adopted to calculate the e...
Scale-free networks are believed to closely model most real-world networks. An interesting property of such networks is the existence of so-called hub and community structures. In...
Sriganesh Srihari, Hoong Kee Ng, Kang Ning, Hon Wa...
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
This paper presents a real-time accompaniment system for the sung voice. A sung voice recognition algorithm has been developed to extract the score info concerning with a performa...
This paper presents a novel two-phase stereo matching algorithm using the random walks framework. At first, a set of reliable matching pixels is extracted with prior matrices de...
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
In this paper we apply the classic theory of Harmonic Analysis and the Conformal Geometric Algebra (CGA) to evaluate the Fourier transform on the unit sphere S2 and on the rotatio...
In this paper, we propose a novel method for feature extraction and recognition, namely, Complete Fuzzy LDA (CFLDA). CFLDA combines the complete LDA and fuzzy set theory. CFLDA re...