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Landslide is one of the major natural hazards, threatening human lives and properties. Real-time landslide monitoring is very important to disaster relief. In this paper, the effectiveness of real-time landslide monitoring method based on close-range photogrammetry is investigated in an on-campus landslide test site at Tongji University. Feature point tracking method using landslide image sequences...
Cloud computing provides access to large pools of distributed components for building high-quality applications. User-side performance of cloud components highly depends on the remote server status as well as the unpredictability of the Internet, which are variable over time. It is an important task to explore an method to predict the real-time performance of cloud components. To address this critical...
Power quality assumes that voltages/currents are in rated frequency and values from transmission to distribution and their shape is pure sinusoid and except these comments the distributed electrical energy is assumed as ‘not in good quality’. In this paper, the method known as empirical mode decomposition (EMD) will be used for extracting feature vectors from distorted power signal. The proposed method...
This paper deals with the realization of a visual monitoring system for the real time detection of spatters in laser beam welding (LBW). Spatters deteriorate the corrosion resistance and the aesthetics of the welding result. Therefore, the real time detection of spatters allows providing on-line quality information about the process, thus reducing material waste in production chains. The proposed...
An Unattended Detection method for monitoring the CO2 concentration in soil respiration is described. It is based on the gas pump and gas extraction with a dynamic air chamber assay, and the study of the relationship between data collected from on-line measurement of carbon dioxide and time, as well as the resistance to interfering. This method uses proposed utility line peak extraction method to...
This paper presents a solution of image mosaics for vehicle monitoring system. Image mosaics technology is used to create a wider field of view on the monitor screen. This paper discusses a new image mosaics method which can meet the demands for the application of the vehicle monitoring system. The new method adopts Harris and SIFT algorithms' advantages and improves the processing time.
Data stream processing is a valuable technique to solve demanding problems that also occur in factory automation, such as continuous data processing with high throughput and real-time output, and distributed data acquisition and processing. However, the intricacies of data stream processing techniques make its application difficult in real-life scenarios. One particularly challenging situation arises...
This paper presents a method for TV commercial monitoring that utilize matching visual extracts to detect known commercials. These visual extracts, also known as visual hashes, are computed from the low-frequency part of both luminance and chroma video frame components. Our approach relies on the assumption that commercial breaks are delimited by known commercial bumpers. Video sequences containing...
Background subtraction is an effective way which is commonly used in intelligent monitoring system for extraction of moving objects. However, the key step of background subtraction need for a precise and time-varying background model. In this paper, we describe an improved background model with its updating method, and apply to a computer vision-based motion detection system able to detect moving...
Face feature tracking in real-time conditions is one of the most challenging problems in the field of computer vision. A completely new approach using ”System of Systems” Model has been developed for feature tracking. A system of robust and intelligent tracking systems has been presented. A multi stage Hierarchical Quality Monitoring and Recovery Network has been developed, which makes the tracking...
ECG is used on purpose to keep good health or monitor cardiac function of aged person as well as on purpose to diagnose the disease of heart patients. The ambulatory ECG monitoring system under guarantee of safety and accuracy is very efficient to prevent the progress of heart disease and sudden death. These systems can detect the temporary change of ECG that is very significant to diagnose heart...
This paper presents a non-intrusive fatigue detection system based on the video analysis of drivers. The system relies on multiple visual cues to characterize the level of alertness of the driver. The parameters used for detecting fatigue are: eye closure duration measured through eye state information and yawning analyzed through mouth state information. Initially, the face is located through Viola-Jones...
Patients suspected of suffering Sleep Apnea and Hypopnea Syndrome (SAHS) have to undergo sleep studies such as expensive polysomnographies to be diagnosed. Healthcare professionals are constantly looking for ways to improve the ease of diagnosis and comfort for this kind of patients as well as reducing both the number of sleep studies they need to undergo and the waiting times. In this paper we present...
Based on the study of the current video image analysis and process technology, it is proposed a combined model for video imagery moving target tracking and locating method in order to solve the drawbacks of the current video imagery sequence moving target auto-tracking and locating algorithm in terms of common and engineering use. The proposed combined model shall be focusing on three aspects including...
Indoor and outdoor real-time monitoring of scenes has become a hot topic for decades. This paper analyzes the median filter and its shortcomings and proposes a modified detection method for moving objects with complex background. Using the method based on decision-making data gives the weights of a consecutive sequence of frames to calculate the weighted average of the corresponding values of pixel...
The recent development of miniaturized, low-power components for body sensor networks pave the way towards intelligent and ambulatory monitoring devices with a plurality of applications. Here, the design and development of a real-time arousal monitor, based on Human++ Body Area Network components is described. A new set of biomarkers is proposed based on psychophysiological observations and principles...
Botnet detection has attracted lots of attention. But few works have considered online detection. In this paper, we propose a novel approach that can monitor the botnet activities in real time. We define the concept of ldquofeature streamrdquo to describe raw network traffics. If some feature streams show high similarities, the corresponding host will be regarded as suspicious bots which will be added...
This paper studies some aspects needing to be improved in current video supervision technology. It puts forward video supervision background self-adaptive algorithm in complex environment, by using mathematical morphology, genetic algorithm, rough set theory, etc. We construct morphological structure element according with traffic moving target, and propose mathematical morphology analysis model for...
Applying image processing technologies to pedestrian detection has been a hot research topic in intelligent transportation systems (ITS). However, the existing video-based algorithms to extract background image may suffer their inefficiency in detecting slow or static pedestrians. To fill the gap, an improved Gaussian mixture model (GMM) for pedestrian detection is proposed in this paper. Three novel...
To date, cardiovascular disease (CVD) is the first leading cause of global death. The Electrocardiogram (ECG) is the most widely adopted clinical tool that measures and records the electrical activity of the heart from the body surface. The mainstream resting ECG machines for CVD diagnosis and supervision can be ineffective in detecting abnormal transient heart activities, which may not occur during...
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