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Efficiency and accuracy are the most important terms for human activity recognition. Most of the existing works have the problem of speed. This paper proposed an efficient algorithm to recognize the activities of the human. There are three stages of this paper, segmentation, feature extraction and recognition. In this paper our contribution is in segmentation stage (based on morphological dilation)...
To develop an online inspection system of rice exterior quality (head rice rate, chalk rice, crackle rice) based on computer vision. The system was developed after analyzing the optic characteristics of rice kernel in the platform of VC + + 6.0 software. The five varieties of rice kernel Jinyou974, Gangyou182, Zhongyou205, Jiahe212, and Changnonggeng-2 were selected as experimental samples. The methods,...
Line matching is useful in many computer vision tasks such as object recognition, image registration, and 3D reconstruction. The literature on line matching has advanced in recent years, nevertheless, compared to other features (such as point and region matching approaches) it has made little progress. Especially, very few algorithms address the problem of image scaling. In this paper, we present...
In this paper we present a novel method for hand gesture recognition based on Gabor filters and support vector machine (SVM). Gabor filters are first convolved with images to acquire desirable hand gesture features. The principal components analysis (PCA) method is then used to reduce the dimensionality of the feature space. With the reduced Gabor features, SVM is trained and exploited to perform...
In computer vision, background subtraction method is widely used to extract a changing region in a scene. However, it is difficult to simply apply this method to a scene with moving background object, because such object may be extracted as a changing region. Therefore, a method has been proposed to estimate both current background image and occluding object region simultaneously by using eigenspace-based...
External defect identification of apples involving humans suffer from disadvantages which can be greatly reduced using machine vision applications. The bruises appearing on the surface which may result due to post harvest handling may not show up in images taken in the visual range. Multispectral imaging technique works with images of object obtained in several bands in the visual and infrared regions...
This paper describes a parallel architecture for image feature detection implemented using an FPGA. The image features are detected using a localized PCA (principle component analysis) pattern matching scheme. An offline training phase identifies sub-windows surrounding salient points in an object which are then projected into eigenspace. Sub-windows from an input image can then be projected into...
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