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Text in video is a compact but effective clue for video indexing and summarization. In this paper, we propose an edge-based video text extraction approach with low computation, which can automatically detect and extract text from complex video frames. We first detect the edge maps of both an intensity image and its binarized image, and merge the two into one edge map, which contains less edge pixels...
Most surveillance systems adopt the paradigm that first detect and then track. However, it is hard to determine the most suitable threshold for detection since the surveillance view is unpredictable for an airborne platform. In contrast to the mainstream approach, we propose a novel approach allowing simultaneous detection and tracking. In the proposed scheme, the detection and tracking are not independent...
This paper concerns with robust stability criteria of networked control systems (NCSs) with the effects of both the time-varying network-induced delay and data packet dropout taken into consideration. A less conservative delay-dependent stability condition is formulated in the form of a linear matrix inequality based on a Lyapunov-Krasovskii functional. No slack matrix variables are introduced and...
Artificial neural networks (ANN) had been used for the detection and classification of patterns in control charts. It has been shown that neural network can detect smaller shifts better than statistical control charts. However, nearly all studies in this area assume that the in-control process data in the control charts follow a normal distribution. In our study, we focus on the effects of heavy tailed...
Automatic fingerprint recognition has been widely applied as a personal identification tool and biometrics applications due to their reliability and uniqueness features. One of the important tasks for any large scale fingerprint recognition system is fingerprint classification. Classifying a fingerprint images is a very difficult pattern recognition problem, due to the small interclass variability,...
Cluster analysis is a hot topic of data mining, and numerous methods or algorithms have been researched. In this article, a new cluster algorithm, called DDD algorithm, based on the decomposition of Delaunay Diagrams is proposed. The DDD algorithm can get non-spherical clusters other than spherical ones, and it can get clusters of high quality even if with lots of noise data, and it can get clusters...
Watermarking 3D meshes is very important in many areas of activity including digital cinematography, virtual reality as well as in CAD design. Due to the complexity of 3D meshes, mesh watermarking schemes are far from the maturity of watermarking algorithms dedicated to audio, image or video watermarking. No existing scheme is robust against all attacks. To verify a good trade-off between invisibility...
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