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Intelligent video surveillance analyzes image sequence automatically using method of computer vision and video analysis without human intervention to achieve detection, identification and tracking in the dynamic scene. A video surveillance system using bank as background is studied here, which is suitable for monitoring management of the bank system. It can transform the analog control system, make...
Visual attention refers to the perceptual quality that makes an object or a region pop out relative to its neighbors and seize human's visual attention. Recently, a new fast approach based on phase spectrum of Fourier Transform (PFT) was proved to be effective and also parameter-free. In this paper, we present a novel improved saliency detection model using PFT as well as the Bayesian framework. The...
Extracting mineralization and alteration information and acquiring spatial distribution features of alteration rocks can be more efficient through digital image processing methods, combined with spectral analysis of rock and minerals, this paper introduced an effective information extraction method based on remote sensing image. An ASTER image covering middle cambrian mountainous area in Gejiu, Yunnan...
Visual attention detecting has drawn great research interest due to its useful application in the area of multimedia. Recently, a fast spectral residual approach in frequency domain was proposed to find the Region of Interest in an image. It was proved to be able to give better performance than the classic approaches. In this paper, we propose a new model for Region of Interest detection based on...
In this paper, a rule-based hierarchical approach is proposed for video parsing in the compressed domain. In this approach, three core factors of video parsing that is feature space, discontinuity metric and decision rule are stressed to improve the parsing performance. Firstly, the PCA-based feature is extracted in the compressed domain as the input of the framework, which shows superior performance...
A novel automatic real-time video parsing framework for gradual transition based on principal component analysis is presented. In this framework, three core factors of video parsing that is feature space, discontinuity metric and decision rule are stressed to improve the parsing performance. Through this PCA-based framework, the negative influence of significant camera or objects movement to the gradual...
With the proliferation of small-display mobile devices, the video sequences which are captured for normal size screen, may give small-display viewers uncomfortable experience, especially for some kinds of sports videos. We focus on soccer video, and propose to establish a saliency binary map and several character rules to detect the ball and decide the region-of-interest accordingly. Experimental...
Despite a lot of research efforts, it is still challenging to detect the ball in soccer video, especially in long shot frames. In this paper, we propose a novel real time ball detection framework for broadcast soccer video in long shot frames. Firstly each frame of the video is preprocessed to remove the regions outside ground field and build a saliency binary map. Then, the ball candidates are detected...
One important critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is a scarce resource in a sensor node. Clustering technique has been proven to be an effective approach for data-gathering in wireless sensor networks. However, these data are characteristic of being heavily noisy, exhibiting temporal and spatial correlation. Data...
This paper proposes a novel automatic image-segmentation system, which improves the traditional marker-based watershed transform. A new marker-extracted approach is proposed to extract the regional minima from the low frequency components in the gradient map. The extracted minima constitute the binary marker image. Then the original gradient map is modified by suppressing its all-intrinsic minima...
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