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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...
The field of object searching and recognition systems is an increasingly popular area of focus for industry and research labs alike. Object searching mechanism is a challenging task. The proposed system makes use of computer vision techniques. Real time object search poses many difficulties in recognizing objects. These difficulties can be overcome by Triangular Matrix Search Algorithm and Real Time...
The optical flow is widely used in detection and dynamic analysis of moving objects, but it has the heavy computational burden, so it has not been able to in the real-time progress needs. Cellular Neural Network is a kind of neural network with outstanding image processing capabilities, and can be utilized in real-time applications. This paper presents an optical flow analysis method based on CNN,...
Autonomous Surveillance is an important term in order to produce pervasive, ubiquitous, homenet, telemetics and other application purposes. However, many surveillance systems are annoyed with some environmental hazards like illumination and others. This paper presents a novel method for non-intrusive biometric vision system for the surveillance having the prior knowledge about environment. As an environment...
Image stitching is a technique being used to stitch multiple images together to form a stitched image with higher resolution and larger field of view. It has been adopted in many research areas such as computer vision and medical applications. The first step in stitching is to first determine the overlap region or similarity. This can be done using feature extraction, follow by comparing the feature...
The application of edge detection to obtain salient lane boundaries on road image is popular in the computer vision area. However, edge detectors may be easily distracted by manifold noises that emerged on the road surface such as shadow cast, vehicles or other obstacles. Additionally, sky region can adversely affect the performance of lane detection method due to the presence of horizontal edges...
The problem of recognizing multiple object classes in natural images has proven to be a difficult challenge for compute vision. It is reasonable to look to biology for inspiration, a novel multiclass object recognition algorithm based on a biologically inspired model named ST model is proposed. ST model is based on the theory of biological neurology, which calculates object features that exhibit position...
In order to develop an automatic and rapid detection method for enumeration of total bacteria in juice, biomimetic pattern recognition and machine vision were employed. The characteristic data, such as shape, texture and color features, were acquired by using the machine vision technology from bacteria images in varieties of juice. Based on multi-weight higher order neuron network, the recognition...
It is an important and challenging problem to tack variant-pose target, especially when the appearance of target changes during the period of occlusion. The traditional feature matching methods can not work well under the situations of target pose varying. This paper analyzes the characteristics of human visual tracking, and proposes a visual tracking model based on feature-imagination. Human tracking...
In the last decade significant progress in computer vision based control of unmanned ground vehicles (UGV) has been achieved. However, until now textural information has been somewhat less effective than color or laser range information. In this paper we propose a computer vision based cross country segmentation system that is capable of distinguishing cross-country road, grass and trees during day-time...
Video summarization is an efficient and flexible way to represent video data. In this paper, we use the kernel PCA and clustering based key frame extraction to realize multilevel video representation. In order to remove the redundancy caused by large scene changes, SIFT flow scene alignment is performed on the clustering set of key frames. After alignment, one representative frame is chosen from the...
The importance of inspection process has been magnified by the requirements of the modern manufacturing environment. A variety of approaches for automatic inspection of machine parts have been reported over last two decades. In this work it is targeted to develop an automated machine vision software system, which is used to inspect automotive parts like PE pumps after assembly of different components...
A video sequence consists of several hundred frames and as a result creating a panoramic image from these frames is a very time consuming process. Consecutive frames have large overlap areas which do not provide much information. Therefore, some key frames must be extracted for better performance. There are a number of methods for key frame selection, which match all frames in a video sequence. In...
An approach to detect moving and standing human from video is proposed in this paper. Human detection from videos is a difficult problem because of motion of human, camera and background. In order to detect moving human, the dense optical flow is calculated by two consecutive frames, to represent the motion of human. Motion based feature is extracted from optical flow field. It not only represents...
This paper proposes a frontal staircase detection algorithm using both classical Haar-like features and a novel set of PCA-base Haar-like features. Real AdaBoost is used for training a cascaded classifier. The PCA-based Haar-like features are extremely efficient at rejecting background regions at early stages in the cascade. A specifically designed scanning scheme made the algorithm constantly time...
Locating and identifying complex objects in a visual scene is a typical problem within the areas of computer vision and image analysis. One technique to minimise the size of image to be identified is to base the classification on smaller features of the image, which are combined into a more complex structure to identify the complete object. For example, locating two eyes, a nose and a mouth can enable...
Perceptual surface roughness classification describes how a surface's texture feels haptically in terms of perceptual categories such as smooth, rough, bumpy, etc. Computer vision and pattern recognition algorithms which estimate a surface's perceptual roughness have a wide range of application areas including robotics, assistive devices, telesurgery and teleperception. In this paper, we propose a...
This paper presents a vision-based intelligent pedestrian crossing able to derive information on the occupancy status of its zebra crossing. The detection of pedestrians can help enhancing safety for road users who need longer to cross the road. At the same time, it produces savings in traffic delay. A stereo vision approach is adopted: the difference between two bird's eye views of the crossing is...
Vision-based hand shape estimation is a challenging task, since the hand presents a motion of high degrees of freedom and since self-occlusions of different fingers bring a lot of uncertainty for the occluded parts. Considering that the influence of self-occlusions may be reduced by observing multiple images, we propose a multiple view system to obtain hand features, with using previous information...
Gabor filter responses are general purpose features for computer vision and image processing and have been very successful in many application areas, for example in bio- metric authentication (fingerprint matching, face detection, face recognition and iris recognition). In a typical feature construction, filters are utilised as a multi-resolution structure of several filters tuned to different frequencies...
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