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In this paper, a simple method for the facial expression detection to identify the normal and unusual of expression variations of the human face is proposed. The approach uses the binary edge image to present the shape of facial expression. The modified Hausdorff distance measure is adapted to our approach to compare between the unusual and normal face expression. In our algorithm, it just needs to...
Gestures and utterances are useful factors in communication. A gesture or an utterance has different meanings depending on related objects, situation and so on. Authors aim that a system recognizes these interactions' meanings and provides a service considering related objects. Proposed system combines gesture recognition and speech recognition as multimodal interaction, and manages the database with...
Recently, various types of robots have been researched and developed for supporting our life. Also, the perceptual system for the robot is researched. Visual perception includes a lot of valuable information and it is useful for all intelligent robot system. In this paper, we discuss intelligent robot vision in order to active sensing and information structuring for human-robot collaboration system...
In order to detect the location of smoke in the Measuring System for Ground Shell Dispersion (MSGSD), presented an improved algorithm for the Background Subtraction. Focused on introducing design of the image detection algorithm. The results show that the system can quickly, accurately and effectively detect the location of the smoke.
In-class demonstration experiments give the real time validation or illumination about conceptual theory, especially in the science and engineering teaching progress of undergraduate education. This paper discusses the development and application of an new apparatus based on virtual instrument for in-class experiments demonstrations when the lecture topics need electronic test process. The apparatus...
Automatic document classification is becoming an important research field with the rapid increase of electronic documents. The main purpose of this research is to construct an accurate document classifier based on support vector machines (SVM), which is known as the state of the art algorithm for document classification. The rough null space (RNS) based approach is also known as a good linear approach...
Image stitching are ideally suited for applications such as image stabilization, summarization, and the creation of panoramic mosaics. This paper proposes a approach to stitch images fast and with high quality.Image alignment algorithms can discover the correspondence relationships among images with varying degrees of overlap. In this process, they uses SIFT to look for the trait points, and uses...
In the process of producing copper bar, because of the cast copper billet, rolling equipment, rolling process and other reasons, the surface of copper bar appear some defects such as crack, scarring, roller printing, scratches, holes, scales, pitting, and so on. These deficiencies not only affect the appearance of the product, but more importantly reduce the product's corrosion resistance, abrasion...
Document image distortion often appears when captured by the camera; this may induce recognition mistakes by OCR. In this paper, a robust and fast dewarping method of document images is proposed. Compared with traditional method, the computation of the correction baseline and the distance for vertical displace in this method is independent of the document's content, so it can guarantee the precision...
Aiming at the detection problem of beverage bottle leak existing in beverage producing industry, a beverage bottle leak detection and exclusion system is researched. With the using of thermal plastic seal PET beverage bottle as testing object, the detection scheme and the feature recognition method for squeezing deformation value of beverage bottle are introduced, and the pressure differential detection...
In this paper, a frequency domain feature extraction algorithm for palm-print recognition is proposed, which efficiently exploits the local spatial variations in a palm-print image. The entire image is segmented into several narrow-width spatial bands and a palm-print recognition scheme is developed based on extracting dominant spectral features from each of these bands using two-dimensional discrete...
In order to improve the recognition rate of the early fire, this paper analyzed the relationship between the image resolution and fire recognition rate from the application point of view. On this basis, we have adopted the Dempster-Shafer evidence theory and carried on the recognition experiment to the different resolution fire image under different environmental conditions. The simulation experimental...
In this paper a novel view-invariant movement recognition method is presented. A multi-camera setup is used to capture the movement from different observation angles. Identification of the position of each camera with respect to the subject's body is achieved by a procedure based on morphological operations and the proportions of the human body. Binary body masks from frames of all cameras, consistently...
With the explosive growth of internet technology robust methods are being developed to protect the proprietary rights of the multimedia. This paper considers the problem of embedding a binary watermark in a gray-level image using the concept of Visual Cryptography (VC). This paper proposes a watermarking scheme which offers better security than Hwang's method, so that, attackers will not be able to...
In the complex reality environment, License plate image may contain multiple plates. At this point, simply using grayscale or color image processing only is very difficult to achieve fast and accurate positioning. By full use of the multiple conditions such as color, edge features and veins, a new method of multi-objective, integrated color of license plate location has been put forward. Firstly,...
In this paper we propose two alternatives to overcome the natural asynchrony of modalities in Audio-Visual Speech Recognition. We first investigate the use of asynchronous statistical models based on Dynamic Bayesian Networks with different levels of asynchrony. We show that audio-visual models should consider asynchrony within word boundaries and not at phoneme level. The second approach to the problem...
The information of vehicle is very important for maintaining traffic order under the present complex traffic environments. The image of vehicle is captured in various ways; fixed camera, movable camera, and vehicle-loaded camera. This paper proposes a new vehicle plate recognition mechanism that is essential to know the information of vehicle. The proposed method is a real-time processing system using...
Pedestrian detection is one of the most popular research areas in video processing and it is vital for video surveillance systems. In this paper, we present a real-time pedestrian detection system based on Dalal and Triggs's human detection framework with the use of image segmentation and virtual mask. Image segmentation enables the system to focus only on the region of interest whereas the virtual...
In order to identify human behavior classification in Intelligent Security Monitoring System, an articulated model to extracting human body and classifying the behaviors of the moving objects is presented in this paper. An improved statistical Gaussian model is used as adaptive background updating method. After silhouettes of objects are extracted from the video images, we propose an articulated model...
We propose an automatic moment-based image recognition technique in this paper. The problem to be solved consists of classifying the images from a set, using the content similarity. In the feature extraction stage, we compute a set of feature vectors using area moments. An automatic unsupervised feature vector classification approach is proposed next. It uses a hierarchical agglomerative clustering...
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