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The purpose of this paper is to develop a companion robot, which can display facial expressions and recognize human faces. With the 12 degrees of freedom, the robot can generate various facial expressions. In addition, a face-recognition method is proposed based on combining two complementary matching algorithms (a single-image matching algorithm and a sequential-image matching algorithm). We have...
Nowadays, malicious computer programs have attempted to attack websites, greatly affecting their availability and security. CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart) mechanism is an effectual method in solving this problem. The prevailing implementation of CAPTCHA is 2D still image verification code, however, the developing artificial intelligence and image...
Human posture recognition is gaining increasing attention in the fields of artificial intelligence and computer vision due to its promising applications in the areas of personal health care, environmental awareness, human-computer-interaction and surveillance systems. Human posture recognition in video sequences is a challenging task which is part of the more comprehensive problem of video sequence...
In these days, human face identification is the safe technique of computer which has been developing quickly within the scope of global. In this paper, we described the basic techniques of image processing, such as different edge detection techniques, harmony variation, and the method of image and face recognition. We focused on human interface system, which was the first step to structure the target...
A study has been done on implementing an object recognition algorithm utilizing similarity metric. The algorithm measured highest similarity values between images in a database as available on the internet. The main objective was to implement an algorithm using the metric of normalized mutual information and fully developed in Java, supported by an image processing architecture, ImageJ. The main part...
In this paper, on the basis of detecting human skin area, 8 typical sitting postures were recognized using PCA. Firstly, moving object was detected by background contrast attenuation method. Then, considering the clustered skin area in a fixed region of YCbCr space which has an ellipse-like projection in CbCr plane, the skin area of moving object was extracted. Finally, the behavior recognition was...
Tracking and recording human activities have been a major interest in the iSpace, for this purpose different recognition and clustering techniques have been used, like using a Learning Classifier System and data Mining Techniques. These techniques share the common factor of database dependence and there was actually little effort into making the system to understand the way human were behaving in...
This paper presents a new behavior classification system that can analyze human behaviors from arbitrary views. Technically, if different viewing angle are used for observing a person, his appearances will change significantly. To freely recognize his behaviors, traditional methods tend to adopt 3-D data for behavior analysis. However, its inherent correspondence process will make it inappropriate...
In this paper, we propose a novel Adaboost template to recognize human upper body poses from disparity images for natural human robot interaction (HRI). First, the upper body poses of standing persons are classified into seven categories of views. For each category, a mean template, variance template, and percentage template are generated. Then, the template region is divided into positive and negative...
The computation efficiency in human identification problem is a very important issue when the number of database templates is large. In this paper, we propose a histogram based approach to improve the computation efficiency for human gait classification. We convert the human gait classification problem to a histogram matching problem. In order to speed up the recognition process, we adopt a multi...
This paper presents a novel human detection algorithm embedded into a thermal imaging system to form a fast and effective trespasser detection system for smart surveillance purpose. To identify a human object, pattern recognization technique is employed where human head is detected and analyzed for its shape, dimension and position. The experimental result shows that the proposed trespasser detection...
CAPTCHA is a technique that is used to prevent automatic programs from being able to acquire free e-mail or online service accounts. However, as many researchers have already reported, conventional CAPTCHA could be overcome by state-of-the-art malware since the capabilities of computers are approaching those of humans. Therefore, CAPTCHA should be based on even more advanced human-cognitive-processing...
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...
This paper proposes a novel neural network approach for human action recognition based on Self Organizing Map (SOM). The SOM acts as a tool to cluster feature data and to reduce data dimensionality. The key poses in action sequences are extracted by the trained SOM. After the mapping of SOM, a human action sequence is represented as a trajectory of map units. For action recognition, a longest common...
The quickly developed bicycle in the un-motor vehicle is taken as example. From the three aspects of the strike vehicle, the no-motor vehicle and the cyclist which micro materials interchanged and the superficial attachment extracted, it provided the basis and the method to recognize the suspicion vehicles. According to the consults of massive correlation data, the accident scene record and participated...
In this study, we investigated the boundary for recognizing robots. Many anthropomorphic robots are used for interactions with users. These robots show various body forms and appearances, which are recognized by their users. This ability to recognize a variety of robotic appearances suggests that a user can recognize a wide range of imaginary body forms compared with the native human appearance. We...
Hidden Markov Models(HMM) have been successfully used in speech recognition where data is essentially one-dimensional. An new approach is proposed. In this approach, Dauechies orthogonal wavelet transform is used to preprocess the original face image, resulting in its four sub-images belonging to different frequency bands, and the sub-images are used to learning and recognition based on HMM. A algorithm...
We address the problem of human detection with mobile platforms such as robots. Instead of using an optical system, we propose to employ an acoustic 2D array to reliably obtain an image of a human in a 3D spatial power spectrum which is independent of lighting conditions and uses cheap acoustic sensors. We show that humans have a distinct acoustic signature and propose to model the echoes from reflecting...
The diagnosis of diffuse gliomas requires the careful inspection of large amounts of visual data. Identifying tissue regions that inform diagnosis is a cumbersome task for human reviewers and is a process prone to inter-reader variability. In this paper we present an automatic method for identifying critical diagnostic regions within whole-slide microscopy images of gliomas. We frame the problem of...
As an effective nonlinear dimension reduction tool, Local Tangent Space Alignment algorithm (LTSA) can construct the global low-dimensional embedded coordinates of the data points sampled in high-dimensional space. However, there have been some technical problems unresolved as yet for its further applications. In order to solve these problems, an improved Local Tangent Space Algorithm based on Max...
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