Current Issue : July - September Volume : 2011 Issue Number : 3 Articles : 4 Articles
Temporal shape variations intuitively appear to provide a good cue for human activity modeling. In this paper, we lay out a novel framework for human action recognition based on fuzzy log-polar histograms and temporal self-similarities. At first, a set of reliable keypoints are extracted from a video clip (i.e., action snippet). The local descriptors characterizing the temporal shape variations of action are then obtained by using the temporal self-similarities defined on the fuzzy log-polar histograms. Finally, the SVM classifier is trained on these features to realize the action recognition model. The proposed method is validated on two popular and publicly available action datasets. The results obtained are quite encouraging and show that an accuracy comparable or superior to that of the state-of-the-art is achievable. Furthermore, the method runs in real time and thus can offer timing guarantees to real-time applications....
TDOA- (time difference of arrival-) based algorithms are common methods for speech source localization. The generalized cross correlation (GCC) method is the most important approach for estimating TDOA between microphone pairs. The performance of this method significantly degrades in the presence of noise and reverberation. This paper addresses the problem of 3D localization in joint noisy and reverberant conditions and a single-speaker scenario. We first propose a modification to make the GCC-PHAse transform (GCC-PHAT) method robust against environment noise. Then, we use an iterative technique that employs location estimation to improve TDOAs accuracy. Extensive experiments on both simulated and real (practical) data (in a single-source scenario) show the capability of the proposed methods to significantly improve TDOA accuracy and, consequently, source location estimates....
Shunting inhibitory cellular neural networks are studied. Some sufficient criteria are obtained for the existence and uniqueness of pseudo almost-periodic solution of this system. Our results improve and generalize those of the previous studies. This is the first paper considering the pseudo almost-periodic SICNNs. Furthermore, several methods are applied to establish sufficient criteria for the globally exponential stability of this system. The approaches are based on constructing suitable Lyapunov functionals and the well-known Banach contraction mapping principle....
The detailed simulation of construction operations remains a challenging task in construction practice. A tremendous number of labor-hours are required to set key frames of an animation step-by-step and considerable computational power is needed to render an animation frame-by-frame. This research aims to utilize a game engine, which has been a rapidly evolving field for over a decade, to reduce the effort required by developers. The process of developing a construction simulation was separated into three main steps: 3D model construction, setup of physical properties, and creation of interactive logic. The Blender game engine was selected as the implementation tool, and a forklift simulation was created to demonstrate the concept. With a keypad, users could control a virtual forklift to simulate the manipulation of an actual forklift. The simulation result shows the advantages of developing a game engine-based construction simulation. The quality of the simulation�s graphics provides a high degree of realism, and the interactivity requirements between user and computer are satisfied....
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