For economical as well as environmental reasons, logistical planning and efficient assignment of transport vehicles in public transportation need a precise knowledge of passenger utilization. To provide reliable figur...
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ISBN:
(纸本)9781728133461
For economical as well as environmental reasons, logistical planning and efficient assignment of transport vehicles in public transportation need a precise knowledge of passenger utilization. To provide reliable figures sophisticated counting methods are demanded. Previously developed systems, mostly using a single 2D image sensor or a 3D depth sensor, can not fully achieve the required accuracy. In this paper, we present a robust people counting algorithm, based on multi sensor data fusion. Our solution runs on embedded systems with reasonable requirements with respect to computational power. 3D distance information, obtained from the ToF system, is used to perform the basic detection of objects. Once detected, the objects get additional classification features exploiting the data provided by a RGB camera and an IR thermal sensor. We describe the current state of fusing and processing of the collected data including the detection, classification (vital, non-vital), as well as sequential tracking and counting. We provide current counting results along with insights to future development concepts to improve the stated algorithms especially in terms of vital, non-vital classification and object recognition.
The paper addresses the overall body of problems related to application of measures for matching stereo images in the measuring instruments used for assessment of road infrastructure condition. Selected stereo vision ...
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ISBN:
(纸本)9783319623160;9783319623153
The paper addresses the overall body of problems related to application of measures for matching stereo images in the measuring instruments used for assessment of road infrastructure condition. Selected stereo vision solutions applied in road pavement diagnostics have been explained. The main problem connected with the subject in question, namely the ambiguity of image matching, has been briefly described, and the matching algorithms commonly used have been characterised. The following measures of matching have been discussed: Sum of Absolute Differences (SAD), Zero Mean Sum of Squared Differences (ZSSD) as well as Covariance-Variance (CoVar). The studies conducted in the field addressed in the article concerned efficiency of stereo image matching for the aforementioned measures of matching. The relevant measurements were performed using images developed as outcomes of field surveys of the road infrastructure condition. The three-dimensional road pavement mapping thus obtained was compared with the mapping based on direct measurements using a dedicated diagnostic station.
image registration, the task of aligning two images, is a fundamental operation for applications like image stitching or image comparison. In our project in surveillance for route clearance operations, a drone will be...
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ISBN:
(纸本)9789897583063
image registration, the task of aligning two images, is a fundamental operation for applications like image stitching or image comparison. In our project in surveillance for route clearance operations, a drone will be used to detect suspicious people and vehicles. This paper presents an approach for real-time image alignment of video images acquired by a moving camera. The high correlation between successive images allows for relatively simple algorithms. We considered region segmentation as an alternative to the more classical corner or interest point detectors and evaluated the appropriateness of connected component labeling with a connectivity defined by the gray-level similarity between neighboring pixels. Real-time processing is intended thanks to a very fast segment-based (as opposed to pixel-based) connected component labeling. The regions, even if not always pleasing the human eye, proved stable enough to be linked across images by trivial features such as the area and the centroid. The vector shifts between matching regions were filtered and modeled by an affine transform. The paper discusses the execution time obtained by this feasibility study for all the steps needed for image registration and indicates the planned improvements to achieve real-time.
Magnetic resonance imaging (MRI) has been used in the diagnosis and detection of pancreas tumor. The disadvantage of MRI is long time-consuming in the manual conclusion by a radiologist. Automated classifiers can upda...
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In the transportation systems engineering field, there is a fast growing interest to use small unmanned aerial systems (UAS) for structural inspections. Of particular importance is the development of imageprocessing ...
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A mathematical construct 'Phasor Fields' (P-Fields) is used to develop a light transport mathematical model for non-line-of-sight (NLOS) imaging applications. We show that NLOS imaging can be treated as conven...
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Bottom terminated circuit components with their low cost, improved signal speeds and good thermal performances have made the use of these elements increasingly widespread in recent years. However, in the post assembly...
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ISBN:
(纸本)9781538615010
Bottom terminated circuit components with their low cost, improved signal speeds and good thermal performances have made the use of these elements increasingly widespread in recent years. However, in the post assembly inspection of these components solder voids can be encountered at a level of effecting the functionality and reliability of the board. It is difficult to detect solder voids manually by visual inspection;therefore x-ray systems have to be used for the detection of solder voids. Solder voids can not be accurately detected with the software on some existing low resolution x-ray control system, a manual adjustment was required on the received images. In this study;images received from low resolution x-ray device were processed with the help of various imageprocessingalgorithms and a graphical user interface program that allows automotic detection of different tyoes of solder voids was created. The work has been proven by using real x-ray images, which yield more accurate results than the existing x-ray software.
Most processing methods used in SSVEP-based BCI systems use fixed time windows for frequency identification. Due to the variable nature of the EEG signal timing, the use of fixed time windows is not appropriate. In th...
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ISBN:
(数字)9781728158150
ISBN:
(纸本)9781728158167
Most processing methods used in SSVEP-based BCI systems use fixed time windows for frequency identification. Due to the variable nature of the EEG signal timing, the use of fixed time windows is not appropriate. In this paper, a new algorithm for floating windows is proposed and evaluated with CCA and LASSO frequency detection methods. The results show that the use of the moving window algorithm for LASSO and CCA methods improves the maximum percentage of frequency identification accuracy by 3.76% and 6.25% respectively. Furthermore, this method decreases the frequency identification time to 0.55 seconds and 0.79 seconds compared to the fixed window algorithm. Advantages such as being able to apply to all frequency recognition methods, increasing the frequency identification accuracy at a certain time of processing compared to fixed windows, adding unlabeled state and adaptability based on system requirements make this algorithm one of the best candidates for SSVEP-based BCI systems.
The objective of this mobile hand-held microscopic device is to provide aid to people residing in developing countries with early detection of various blood and gastrointestinal diseases. This device is created using ...
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ISBN:
(纸本)9781538678107
The objective of this mobile hand-held microscopic device is to provide aid to people residing in developing countries with early detection of various blood and gastrointestinal diseases. This device is created using a cell scope attached to the camera lens of the phone. The detection of disease is done using imageprocessingalgorithms which are stored on a cloud based server to generate reports and efficiently send results to the end user. The main goal behind the device is to create a revolution in the world of technology and healthcare by facilitating easier approaches of disease detection and prevention in rural areas.
Automatic identification of intended tag meanings is a challenge in large image collections where human authors assign tags inspired by emotional or professional motivations. algorithms for automatic tag disambiguatio...
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ISBN:
(纸本)9783319993447;9783319993430
Automatic identification of intended tag meanings is a challenge in large image collections where human authors assign tags inspired by emotional or professional motivations. algorithms for automatic tag disambiguation need "golden" collections of manually created tags to establish baselines for accuracy assessment. Here we show how to use the MIRFLICKR-25000 collection to evaluate the performance of our algorithm for tag sense disambiguation which identifies meanings of image tags based on WordNet or Wikipedia. We present three different types of observations on the disambiguated tags: (i) accuracy evaluation, (ii) evaluation of the semantic similarity of the individual tags with the image category and (iii) the semantic similarity of an image tagset to the image category, using different word embedding models for the latter two. We show how word embeddings create a specific baseline so the results can be compared. The accuracy we achieve is 78.6%.
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