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In this work we propose a new key frame extraction method based on SIFT local features. We extracted feature vectors from a carefully selected group of frames from a video shot, analyzing those vectors to eliminate near duplicate key frames, helping to keep a compact set. Moreover, as the key frame extraction is based on local features, it keeps frames latent semantics and, therefore, helps to keep...
In this paper we propose a robust sparse based visual tracking method by exploiting local representations in a particle filter framework. We construct a Multi-level Local Dictionary which consists of positive templates and negative templates for discriminative model, Which divide the positive and negative dictionary into two levels called static templates and dynamic templates, respectively, thus...
The identification of critical nodes is relevant to determine the structural vulnerability of an Electric Power System. In this article, centrality indices from the area of complex networks analysis are adapted to identify nodes and lines that result critical for the transmission of energy. The centrality indices are calculated in each sub-graph, to rapidly assess the structural vulnerability of the...
This paper introduces the framework of mobile Computer Music interfaces within the context of Human Computer Interaction (HCI). It examines the unique problems posed by the use of computers by composers and performers of music. It emphasizes on the new various interfacing protocols, metaphors and paradigms that apply HCI design methodologies on the world of music, producing special modules like: performance...
Image secret sharing is an important research topic in the field of information security. Compared to a lot of digital information, images are favored in the network due to having a vivid, visual characteristics. However, most image secret sharing schemes without considering the characteristics of the image just regard the image as a series of general data and directly using the common secret sharing...
This paper presents a methodology based on image processing, circuit theory and state variables to estimate the voltage profile along an electrical grid with RLC frequency dependent elements. Numerical techniques are used to obtain the dynamic solutions of EMTP, Z transform and Laplace transform of an electric grid. Finally, based on the theoretical solution of an infinite resistive network, the matrix...
Nearest-neighbor (NN) methods are among the most popular and highly effective techniques used in pattern recognition tasks. However, these methods have several drawbacks that impair their performance in large scale problems and noisy data sets. Some of these disadvantages includes its high storage requirements, its sensitivity to noisy instances, and the computational cost for estimating the distance...
In this paper, we propose an approach of following a visual path for humanoid navigation. The problem consists in computing appropriate robot velocities for the humanoid walking task from the visual data shared between the current robot view and a set of target images. Two types of visual controllers are evaluated: a position-based scheme and an image-based scheme. Both of them rely on the estimation...
There is a special type of concrete pipe beneath the roads in Malaysia which is called culvert. Detecting the place of damages in these pipes is important for maintenance operations. Pipe inspection robots are one of the most reliable ways to achieve this goal. Because of the wheel slippage, low speed motion and dynamic changes in kinematic of the robot, the INS and wheel encoder methods are not accurate...
In this paper, we address an exemplar-based hidden markov model (HMM) that represents the lip motion activity using visual cues for lipreading. The discriminative visual features including the geometric shape parameters and contour-constrained spatial histogram are selected for representing each lip frame. Then, a set of exemplars associated with the HMM is learned jointly to serve as a typical representation...
A distance education system is designed based on fuzzy inference, where visualized atmosphere information is shared by all learners in a virtual classroom. It provides high aspirations, low isolated feeling, low stress, and high affinity to learners, and offers learner's psychological information, individual difference information, and hints of system improvement to system manager. The effect of visualized...
Various researchers have investigated the mechanism of chemical mechanical polishing (CMP). Although the slurry flow in a microscopic pad asperity is thought to play a critical role in the transport of abrasive particles to the wafer surface, this has not been completely explained. In this study, we devised a visualization method for the slurry flow in the pad asperity area, created an experimental...
In this paper, visual attention transfer is formulated as a nonlocal diffusion equation. Different from the other diffusion based method, a nonlocal diffusion tensor is introduced to consider both the diffusion strength and direction. Along with the principle direction, the diffusion should be suppressed to preserve the dissimilarity between the foreground and background, and in other directions,...
One the causes of dysfunction of a mechatronic system can be the evolution of the value of some of its parameters. It is possible to model the behavior which must be performed through the representation of the impulse differential inclusion model. Especially the viability sets are identified in relationship with the reliability properties. A visual analysis process can be then conducted and also quantitative...
This paper presents a fast vehicle recognition and vehicle retrieval system based on “bag of words”. In this system, the input is an image of vehicle and the vehicle will be identified automatically, it can also retrieve images which are similar to the input image. 3742 vehicle images which include 28 types of vehicles are collected as the image database. Features of these images are extracted and...
Real world materials often change their appearance over time. If these variations are spatially and temporally homogeneous then the material visual appearance can be represented by a dynamic texture which is a natural extension of classic texture concept including the time as an extra dimension. In this article we present possible way to handle multispectral dynamic textures based on a combination...
Our aim is to better understand the action selection process of intelligent systems by looking at their ability of internal prediction. In robotic systems, one problem is to generate meaningful robot behaviour with a very small and simple set of trained motions. An additional problem is to compensate for incomplete sensory data while generating behaviour. We propose a new predictive action selector...
Most sophisticated mammals, in particular primates, interact with the world to acquire knowledge and skills later exploitable to obtain biologically relevant resources. These interactions are driven by intrinsic motivations. Recent research on brain is revealing the system of neural structures, pivoting on superior colliculus, underlying trial-and-error learning processes guided by movement-detection,...
We present a model for the autonomous and simultaneous learning of smooth pursuit and vergence eye movements based on principles of efficient coding. The model accounts for the joint development of visual encoding and eye movement control. Sparse coding models encode the incoming data and capture the statistics of the input in spatio-temporal basis functions while a reinforcement learner generates...
Physics based simulation is one of the most important issues in computer graphics since it validates the simulation model and improves the quality of the images generated according to the simulation results. The visualization of natural phenomena is a challenging issue among them and the simulation on fluid is the most difficult one because the shape of fluid changes more dynamically than solid and...
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