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Moving object detection is about foreground and background separation based on motion detection. Detecting moving objects from similarly colored background (known as camouflage problem) has been a long-standing open question in this field. Discriminative modeling (DM), which focuses on enhancing the performance to distinguish foreground from background with discriminative features and well-designed...
With the explosive growth of information on the Internet, it becomes more and more important to improve the efficiency of information acquisition. Automatic text summarization provides a good means for quick acquisition of information through compression and refinement. While existing methods for automatic text summarization achieve elegant performance on short sequences, however, they are facing...
Temperature Sensitive Paint (TSP) is a kind of special temperature sensor. TSP test is an essential approach to measure the surface temperature distribution, especially for high temperature, large area aero-engine components. The manual method of TSP test has a weak repeatability because it's heavily rely on the operator's personal experience and proficiency. Based on image processing algorithms,...
Nowadays, unattended monitoring system has been widely used in substation for its efficiency and efficacy, and it sometimes may cause safety problems for utility workers. In order to ensure workers' safety, in this paper, we focus on the problem of illegal human ladder climbing action recognition in substation using vision-based algorithm. Specifically, we first detect “forbidden” and “allowing” types...
On account of the substation is a basis and important element of the power system, its maintenance plays a pivotal role in the stable operation of power grid. As the maintainer of the substation, the on-site staffs work long-term in strong electromagnetic field environment. Therefore, it is necessary to wear the working clothes strictly. In order to strengthen the working clothes wearing circumstance...
Safety helmet wearing detection is very essential in power substation. This paper proposed a innovative and practical safety helmet wearing detection method based on image processing and machine learning. At first, the ViBe background modelling algorithm is exploited to detect motion object under a view of fix surveillant camera in power substation. After obtaining the motion region of interest, the...
Automatic fire flame detection is important for intelligent video surveillance. The background model and various color features are usually adopted for flame detection. In this paper, a fire flame detection method is developed by combining both background subtraction and region covariance. The color distribution method and background model with an adaptive background learning model are used to preprocess...
The purpose of the study is to ascertain the key feature subsets of hepatitis b virus (HBV) reactivation and establish classification prognosis models of HBV reactivation for primary liver carcinoma (PLC) patients after precise radiotherapy (RT). Genetic Algorithm (GA) is proposed to extract the key feature subsets of HBV reactivation from the initial feature sets of primary liver carcinoma. Bayes...
SIFT features have been found to be effective in describing image textures. Because SIFT features have some great characteristics, such as translation invariance, zooming in and out invariance, spin invariance and affine invariance, etc, so the image retrieval precision is satisfactory usually. However, in Content Based Image Retrieval (CBIR), there are so many SIFT feature points extracted from an...
Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as over-saturated by reflection, too dark or obscure. In this...
Path motion object detection based on video is a fundamental part of intelligent transportation systems, In the aspect of background extraction, this paper compared all existing theories and algorithms, aimed at specific objects (city expressways or high-speed Road), and combined with the virtual loop set method. This paper proposed an extraction and updating algorithm based on the sub-segmentations...
Traditional detect method could not deal well with the problem of paper zooming. This paper introduces scale invariant feature transform to the paper detection system. The hardware of paper detection system consists of digital signal processor and complex programmable logic device. The hardware can accomplish image acquisition and processing. The software of this system use SIFT method to detect the...
A novel ear recognition approach is proposed in this paper, which use the SIFT descriptor with global context and the projective invariants to obtain ear features. At first, as the ear images have multiple similar local regions, the SIFT descriptor with global context is used for computing the matching points. This kind of descriptor can discriminate the keypoints with similar local appearances effectively...
This paper presents an automatic method for processing the data of 1H magnetic resonance spectroscopy. This method focuses on expressing the metabolites concentration ratios of the brain, such as NAA/Cr, NAA/Cho, Cho/Cr, etc. The data processing system consists of water suppression with wavelet basis function, automatic coefficients selection of the Gaussian transform based on the signal characteristics...
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