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To determine the real-time traffic state accurately in road network or intersections, traffic state identification method is proposed based on image processing technology. During the image process, by analyzing the image texture features, the multi-scale block local binary patterns are taken as the features. The road traffic state identification model is established based on support vector classification...
Methods to estimate the DC wire loss in photovoltaic (PV) systems are proposed. Root-mean-square (RMS) of the irradiance data is first related to wire losses. Then a statistical model is used to characterize the irradiance data for the PV systems. The β-distribution gives reasonable match of the RMS value for the irradiance data. The result is consistent for different geographic locations.
This paper introduces a general framework for image contrast enhancement based on histogram equalization (HE) and specification (HS). Traditional HE and HS are simple and effective, but they often amplify the noise level of the image while enhancing it. Furthermore, they may not utilize the entire dynamic range due to the discrete nature of the image. In our framework, image contrast enhancement is...
Video scenes provide semantic meanings for video content description and summarization. This paper explores the pair-wise visual cues of near-duplicate objects for link-constraint affinity-propagation without using keyframes. Experiments demonstrate that our method is more capable to identify scenes comparing with non-constrained clustering algorithms.
We aim to improve the bag-of-visual-words (BOW) model for near-duplicate image retrieval, by introducing a more fine-grained pseudo-relevance feedback process. The BOW method is based on vector quantization of affine invariant descriptors of image patches. Despite its popularity and simplicity, the retrieval performance of BOW is often unsatisfactory due to the large and diverse variations of near-duplicate...
This paper proposes an adaptive learning method for tracking targets across multiple cameras with disjoint views. Two visual cues are usually employed for tracking targets across cameras: spatio-temporal cue and appearance cue. To learn the relationships among cameras, traditional methods used batch-learning procedures or hand-labeled correspondence, which can work well only within a short period...
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