In this paper, we present a real time system for estimating the number of pedestrians from detection results in crowd, which may be very large and dense. Firstly, the scene is segmented into foreground and background,...
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The Problem Frames (PF) approach is a well-known approach for describing, analyzing and structuring problems in requirements engineering. It defines certain patterns of problems to be problem frames which have solutio...
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ISBN:
(纸本)9781479921454
The Problem Frames (PF) approach is a well-known approach for describing, analyzing and structuring problems in requirements engineering. It defines certain patterns of problems to be problem frames which have solutions. The real world problems are solved by decomposing to sub-problems which could be matched against problem frames. However, whether existing problem frames is enough for covering all problems is undecided. In this paper, we propose to recognize problem frames in a specific application domain by using feature models. As feature models could link to solution space, our approach bridges the gap between problem frames and solution space. The newly constructed problem frames could be used to analyse problems. We illustrate their usage by presenting a problem frames based problem analysis which include problem descriptions and matches. Because our new problem frames are high level, the real world problems do not need to be decomposed before matched.
Remarkable improvements in recognition can be achieved through multibiometric fusion. Among various fusion techniques, score level fusion is the most frequently used in multibiometric system. In this paper, we propose...
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Remarkable improvements in recognition can be achieved through multibiometric fusion. Among various fusion techniques, score level fusion is the most frequently used in multibiometric system. In this paper, we propose a novel fusion algorithm based on False Reject Rate (FRR) and False Accept Rate (FAR) using Support Vector Machine (SVM). It transfers scores into corresponding FRRs and FARs, thus avoiding calculating posteriori probability of a certain score, as well as be capable of illustrating distribution of matching scores. The proposed method takes full advantages of both capabilities of FRR and FAR to describe the order of score and classification of SVM. Experimental results show that the proposed method outperforms existing representative approaches and can effectively improve the performance of multibiometric system.
To improve efficiency of action design for intelligent toy robot, a visual action design environment is created. Compared with the text-based action design software, it's intuitive, good usability. An algorithm fo...
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In a normal Voronoi diagram, each site is able to see all the points in the plane. In this paper, we study the case such that each site is only able to see a visually restricted region in the plane and construct the s...
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To improve efficiency of action designing for intelligent toy robot, a visual action design environment is created. Compared with the text-based action designing software, it's intuitive, good usability. With this...
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Signature schemes with message recovery based on self-certified public keys can reduce the amount of communications and computations, since the signature verification, the public key authentication and the message rec...
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Vehicle classification has found many applications, such as vehicle detection, automatic driving and so on. In this paper we introduce a new method based on edge orientation histograms. We choose the structure of edge...
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hicle classification has found many applications,such as vehicle detection,automatic driving and so *** this paper we introduce a new method based on edge orientation histograms.
hicle classification has found many applications,such as vehicle detection,automatic driving and so *** this paper we introduce a new method based on edge orientation histograms.
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