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Multi-person activity recognition is a challenging task due to the complex interactions between people and the multi-dimensionality of features. This paper proposes a hierarchical and observation decomposed hidden Markov model to classify multi-person activities. In order to give detailed descriptions of people's interactions by different feature scale, states of individual persons and states of interactions...
Recent research has been devoted to detecting people in images and videos. In this paper, a human detection method based on Histogram of Oriented Gradients (HoG) features and human body ratio estimation is presented. We utilized the discriminative power of HoG features for human detection, and implemented motion detection and local regions sliding window classifier, to obtain a rich descriptor set...
In this paper, the authors developed an intuitive navigator system with 3D platform which is web-camera based tool for people to navigate the 3D contents of computer. As many head-controlled devices, users need not control computer by directly getting in touch with any equipment to avoid diseases from other users by using this navigator system. Although there are many navigators for people to control...
An important goal of automatic testing techniques, including random testing is to achieve high code coverage with a minimum set of test cases. To meet this goal, random testing researchers have proposed many techniques to generate test inputs and method call sequences that yield higher code coverage. However, most proposed random testing techniques are only suitable for toy systems, and they achieve...
In this paper a novel algorithm for human action recognition is presented. This approach is based on Two-Dimensional Principal Component Analysis (2DPCA) and Vector Quantization (VQ) in the spatial-temporal domain. This method reduces computational complexity by a factor of 98, while maintaining the storage requirement and the recognition accuracy, compared with some of the most recent approaches...
This paper studied the growth effect mechanism of thermal power plant dust on three body normal flora. The physics properities, major chemical composition and granularity distributing of the experiment dust were analysis and the change of number of index bacterial colonies, pH, glucose (GLU) and electrolyte relative to the controls were observed. And in the same time, we studied the bacterial form...
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled feature patches and their corresponding votes in a spatio-temporal-action Hough space. The leaves of the trees form a discriminative multi-class codebook that share features between the action classes and vote for action centers...
In this paper we study large-scale ethnicity estimation under variations of age and gender. The biologically-inspired features are applied to ethnicity classification for the first time. Through a large number of experiments on a large database with more than 21,000 face images, we systematically study the effect of gender and age variations on ethnicity estimation. Our finding is that ethnicity classification...
The employee's career competency is critical for an enterprise to survive and develop. This paper took the employees' career competency of commercial banks as study object. By analyzing the components of employee's career competency of commercial banks, this paper put forward a suitable development system model of career competency for commercial banks, and also explained its operating mechanism based...
Humans are adept at grasping different objects robustly for different tasks. Robotic grasping has made significant progress, but still has not reached the level of robustness or versatility shown by human grasping. It would be useful to understand what parameters (called grasp measures) humans optimize as they grasp objects, how these grasp measures are varied for different tasks, and whether they...
Many classifiers have been employed to classify human posture classification; however, most of them only presents the average accuracy of the classification. Furthermore, the details of the measured parameters especially for SVM classifier are not measured. Therefore, the objective of this work is to analyse and classify human body posture using Support Vector Machine (SVM) techniques based on various...
How to apply Web achievements to the Business Process Simulation (BPS) to compensate for the deficiencies of existing simulation technology and improve the ability of BPS is facing a major problem. Based on simulation technology development trend, this article proposed a BPS platform which is service-oriented and SAAS-based. With this platform, the BPS as a web service on the Internet that provides...
Current GUI testing approaches validate the functional correctness of interactive applications, but they neglect an important non-functional quality: performance. With the growing complexity of interactive applications, and with their gradual migration to resource-constrained devices such as smartphones, their performance as perceived by the human user is growing in importance. In this paper we propose...
Online gaming teams often face the problem of event management. As the needs for a successful event conflict with the needs of individual players, meeting both ends can grow to be a complicated issue. This research project develops an application, namely ??Automated Event Manager for MMO games??, that automates the procedure of scheduling events and selecting the best combination of individuals that...
Hardware developers often seem to view compliance with exposure standards as a necessary evil to be put off for fear a non-compliant outcome could end a project, or because it is assumed that the device poses no health risk. The public, on the other hand, continues to see health risks in even the lowest power devices, such as cell phones; while simultaneously adopting new technologies. If developers...
This study aims to develop an automatic scoring system for evaluating the ecology observation worksheets in mobile learning activities. The feedbacks for constructed response tasks were provided online to motivate students searching for detailed information in e-library, such that their inquiry abilities could be enhanced. Three PDA integrated outdoor observation activities and worksheets were arranged...
We propose an appearance based eigenfeature regularization methodology for recognizing human activities. This regularization utilizes a 3-parameter based eigenmodel derived from the variances of within-class (activity) scatter matrix. Original eigenvalues are replaced by the model eigenvalues which facilitates in regularizing eigenfeatures corresponding to very small and zero eigenvalues and perform...
We present an application of multi-agent to the problem of software project schedule execution evolution, i.e. performing an automatic schedule monitoring and handling contingencies that result in project delivered on time, and required specifications. In a software project setting each involved individual can be represented by three cooperative agents: a proxy, a bookkeeper and a scheduler. These...
Checking if an SQL query has been written correctly is not an easy task. Formal verification is not applicable, since it is based on comparing a specification with an implementation, whereas SQL queries are essentially a specification without any implementation. Thus, the standard approach for testing queries is to manually check query results on test datasets. Intuitively, a mutant is a query variant...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: though less natural than human speech, one could synthesize the exact spoken content in different emotional nuances - of many speakers and even in different languages. To investigate chances, the phonemisation components Txt2Pho...
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