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In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The binary masks of a multi-view posture image are first vectorized, concatenated and the view correspondence problem between train and test samples is solved using the circular shift invariance property of the discrete Fourier...
Collecting grasp data for learning and benchmarking purposes is very expensive. It would be helpful to have a standard database of graspable objects, along with a set of stable grasps for each object, but no such database exists. In this work we show how to automate the construction of a database consisting of several hands, thousands of objects, and hundreds of thousands of grasps. Using this database,...
In this paper we approach the human action recognition task using the Product of Hidden Markov Models (PoHMM). This approach allow us to get large state-space models from the normalized product of several simple HMMs. We compare this mixed graphical model with other directed multi-chain models like Coupled Hidden Markov Model (CHMM) or Factorial Hidden Markov Model (FHMM), so as with Conditional Random...
Graphical models have proved to be very efficient models for labeling image data. In particular, they have been used to label data samples from human body images. In this paper, a DTG-based graphical model is studied for human-body landmark localization and tracking along the image sequence. Experimental results on human motion databases are shown.
Color is the main source of information particularly for content-analysis and retrieval. Most of the color descriptors, however, show severe limitations and drawbacks due to their incapability of modeling the human color perception. Moreover, they cannot characterize all the properties of the color composition in visual scenery. In this paper we present a perceptual color feature, which describes...
Tracking an object is one the most considerable and applicable field of the machine vision. In this field, tracking a non-rigid object like human are so difficult because of variable shape of this kind of object and the self-occlusion that normally between different parts of the human body occurs. The methods of human tracking are categorized to four main categories which are model-based, feature-based,...
Service robots need many different informations about the objects, to grasp and manipulate them. Besides the physical information such as the geometry and weight, semantic information of the objects is also needed. To model both of these informations, we have constructed a multimodal object modeling center. It can model the physical properties of the object, such as the textures and the 3D geometry,...
Research of the security model is one of security system keys. The secrecy and the integrity are two important demands of security system. BLP model mainly satisfies the secret request , and Biba model emphasises the integrity request. The few security models unify the secrecy with the integrity. A mutilevel database security model increases integrity examination in the foundation of original secret...
Recently, researchers are paying more attention to 3D model classification due to its useful applications in multimedia, computer graphics, and so on. Although there exist a number of approaches to classify 3D models, few of them consider the prior knowledge during the process of 3D model classification. In this paper, we propose a new framework called knowledge based cluster ensemble which incorporates...
Hidden Markov Model (HMM) based human action recognition (HAR) has been broadly adopted by HAR community. However, existing works donpsilat pay attention to the relationship between the layout of the model and the property of human action. In this paper, a novel HAR method is proposed based on the assumption that human action can be essentially recognized by three key postures located around the initial,...
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