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Human posture recognition is very critical in human computer interaction studies. With the release of Microsoft Kinect sensor, there has been an increasing interest in using Kinect for vision based human posture recognition as user's skeleton information can be precisely inferred from the depth images generated by Kinect. In this paper we proposed a novel human posture recognition method using Microsoft...
According to morphological characteristics in the interior of ruins after an earthquake disaster, a map representation technique for ruins environment is presented, and a corresponding simultaneous localization and mapping algorithm on the basis of hybrid map is proposed. Based on the topological metric hybrid map, the algorithm describes ruins environment at different levels. At global level, the...
This paper presents a novel fusion method for final decision making in multiple classifier system. The novel approach proposed fuses multiple individual classifiers through normalizing and re-subdividing classification output space. Firstly, each class decision output of each classifier in multiple classifier system is divided into four spaces by reliability of corresponding classifier. And then,...
In order to improve the reliability of fault detection and diagnosis for dynamic system, it is important to make full use of the information from different component of system. Multiple classifiers fusion is a technique that combines the decisions of different classifiers as to reduce the variance of estimation errors and improve the overall classification accuracy. This paper proposes a novel multiple...
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