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With the development of artificial intelligence, more and more multimedia applications for various tasks have emerged in our daily life. Meanwhile, as one of the main information sources of the applications, a huge amount of video data has been being generated by portable or mounted cameras in daily basis for varying purposes including surveillance, in which case we may need computers to "watch"...
In recent years, people detection and face recognition technology developed quickly, including people detection part there is considerable room for development. People detection can be used in vehicle auxiliary systems or monitoring systems to identify people by the camera to capture the image. However, the people detection accuracy and running speed is also a very important part, so this study presents...
Discriminative feature based modeling (DFM) is widely used for moving object detection, which, however, may tend to fail when encountering camouflage problems. In this paper we propose a new strategy, camouflage modeling (CM), to detect camouflaged moving objects. In view that a camouflage area is highly content dependent of foreground and the nearby background information, we model both the background...
In this paper, we study the class imbalance problem in statistical background subtraction. Firstly, we discuss the imbalance essence in background subtraction, and conclude that foreground and background are inherently imbalanced. Secondly, following the imbalanced learning strategy in machine learning, we present a spatio-temporal over-sampling method to resolve the class imbalance in background...
There are two ways to judge the orientation of crystal oscillator. One is to look for the unfilled corner of the crystal oscillator's pins, the other is to judge by the orientation of characters on the surface. An algorithm, which can be used to detect the orientation of crystal oscillator by character recognition, is brought forward in this paper. This algorithm has been proved efficient through...
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