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Hemorrhages in color fundus images usually vary in size and shape, and some are even connected with the retinal vasculature such that they are often omitted by previous detection methods. In this paper, we propose a new method to deal with these problems. During the hemorrhage candidate extraction stage, dark regions and retinal vasculature are segmented out respectively. Their individual advantages...
In this paper, an approach using the spatio-temporal feature and nonnegative locality-constrained linear coding (NLLC) is proposed to detect abnormal events in videos. This approach utilizes position-based spatio-temporal descriptors as the low-level representations of a video clip. Each descriptor consists of the position information of a space-time interest point and an appearance feature vector...
The algorithm is applied to the field of hand gesture recognition by Referencing the Bag of Feature (BoF) algorithm in the field of target recognition and image retrieval. First of all, this paper uses the HSV skin color adaptive method to segment the gesture's information from body and uses SURF algorithm to extract the feature of the image. After feature extraction, it uses BoF algorithm to generate...
Automatic modulation recognition (AMR) of communication signals is a critical and challenging task in cognitive radio systems. In this work, classifications of four digital modulation types, including BPSK, QPSK, GMSK and 2FSK, are investigated. From the received radio signal, a set of cyclic spectrum features are first calculated, and a principal component analysis (PCA) is applied to extract the...
There are few methods to deal with the coal-mine surveillance video, the only few existing methods all make use of the traditional image engineering ideas. Visual attention has the prominent functions that can reduce computation and accelerate the computing speed. This paper firstly analyzes the limitations of existing down-top attention model in the application of coal-mine surveillance video, then...
Various features may be used for tracking with a mobile camera, such as color, edge, contour, texture, locomotion, key point and so on. It has been proved that combination of multiple features can increase the robustness of a tracking system. By considering the characteristics of these features, we propose the approach of employing the color and topological properties of the target in tracking. First,...
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