Unmanned Aircraft systems (UAS) are being used commonly for video surveillance, providing valuable video data and reducing the risks associated with human operators. Thanks to its benefits, the UAS traffic is nearly d...
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ISBN:
(纸本)9781467393331
Unmanned Aircraft systems (UAS) are being used commonly for video surveillance, providing valuable video data and reducing the risks associated with human operators. Thanks to its benefits, the UAS traffic is nearly doubling every year. However, the risks associated with the UAS are also growing. According to the FAA, the volume of air traffic will grow steadily, doubling in the next 20 years. Paired with the exponential growth of the UAS traffic, the risk of collision is also growing as well as privacy concerns. An effective UAS detection and/or tracking method is critically needed for air traffic safety. This research is aimed at developing a system that can identify/detect a UAS, which will subsequently enable counter measures against UAS. The proposed system will identify a UAS through various methods including imageprocessing and mechanical tracking. Once a UAS is detected, a countermeasure can be employed along with the tracking system. In this research, we describe the design, algorithms, and implementation details of the system as well as some performance aspects. The proposed system will help keep the malicious or harmful UAS away from the restricted or residential areas.
The growing number of different models and approaches for Geographic Information systems (GIS) brings high complexity when we want to develop new approaches and compare a new GIS algorithm. In order to test and compar...
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In this paper, a novel radiometer system using compressed sensing technique is simulated. Millimeter-wave radiometer is a high-sensitivity noise power receiver that can detect the microwave radiation from objects. Mil...
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In this paper, a novel radiometer system using compressed sensing technique is simulated. Millimeter-wave radiometer is a high-sensitivity noise power receiver that can detect the microwave radiation from objects. Millimeter wave radiometer is one of the key technologies in millimeter wave passive detection and imaging. The novel system this paper proposed using compressed sensing is a focal plane system, which simultaneously receives signals through multiple feeds. Each feed receives the corresponding pixel point of millimeter wave radiation energy. The system achieves the similar function of the dam-board by on-off the switch. The system reduces the number of receiver channels via the use of compressed sensing. The proposed system not only overcomes the shortcomings of the traditional systems, but also recovers the image according to the theory of compressed sensing. The system performance is validated through simulations.
The paper presents the design of a real-time and low-cost embedded system for image acquisition and processing in Advanced Driver Assisted systems (ADAS). The system adopts a multi-camera architecture to provide a pan...
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ISBN:
(纸本)9781510601420
The paper presents the design of a real-time and low-cost embedded system for image acquisition and processing in Advanced Driver Assisted systems (ADAS). The system adopts a multi-camera architecture to provide a panoramic view of the objects surrounding the vehicle. Fish-eye lenses are used to achieve a large Field of View (FOV). Since they introduce radial distortion of the images projected on the sensors, a real-time algorithm for their correction is also implemented in a pre-processor. An FPGA-based hardware implementation, re-using IP macrocells for several ADAS algorithms, allows for real-time processing of input streams from VGA automotive CMOS cameras.
In this contribution, the design of a Light Field image dataset is presented. It can be useful for design, testing, and bench-marking Light Field imageprocessingalgorithms. As first step, image content selection cri...
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ISBN:
(纸本)9781450342971
In this contribution, the design of a Light Field image dataset is presented. It can be useful for design, testing, and bench-marking Light Field imageprocessingalgorithms. As first step, image content selection criteria have been defined based on selected image quality key-attributes, i.e. spatial information, colorfulness, texture key features, depth of field, etc. Next, image scenes have been selected and captured by using the Lytro Illum Light Field camera. Performed analysis shows that the proposed set of images is sufficient for addressing a wide range of attributes relevant for assessing Light Field image quality.
A novel high- speed image super-resolution algorithm based on sparse representation for MEMS defect detection is proposed in this paper. Traditional super-resolution algorithms adopt a single dictionary to represent i...
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The use of reconfigurable computer vision architecture for imageprocessing tasks is an important and challenging application in real time systems with limited resources. It is an emerging field as new computing archi...
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ISBN:
(纸本)9781450347860
The use of reconfigurable computer vision architecture for imageprocessing tasks is an important and challenging application in real time systems with limited resources. It is an emerging field as new computing architectures are developed, new algorithms are proposed and users define new emerging applications in surveillance. In this paper, a computer vision architecture capable of reconfiguring the processing chain of computer vision algorithms is summarised. The processing chain consists of multiple computer vision tasks, which can be distributed over various computing units. One key characteristic of the designed architecture is graceful degradation, which prevents the system from failure. This system characteristic is achieved by distributing computer vision tasks to other nodes and parametrizing each task depending on the specified quality-of-service. Experiments using an object detector applied to a public dataset are presented.
This paper describes and evaluates a novel 3D inspection system to detect anomalies in sewer pipes using stereo vision coupled with novel imageprocessingalgorithms. Currently, most commercial pipe inspection systems...
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processing of optical signals, which are received from CCD sensors of video cameras, allows to extend the functionality of video surveillance systems. Traditional video surveillance systems are used for saving, transm...
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ISBN:
(纸本)9781510600485
processing of optical signals, which are received from CCD sensors of video cameras, allows to extend the functionality of video surveillance systems. Traditional video surveillance systems are used for saving, transmitting and preprocessing of the video content from the controlled objects. Video signal processing by analytics systems allows to get more information about object's location and movement, the flow of technological processes and to measure other parameters. For example, the signal processing of video surveillance systems, installed on carriage-laboratories, are used for getting information about certain parameters of the railways. Two algorithms for video processing, allowing recognition of pedestrian crossings of the railways, as well as location measurement of the so-called "Anchor Marks" used to control the mechanical stresses of continuous welded rail track are described in this article. The algorithms are based on the principle of determining the region of interest (ROI), and then the analysis of the fragments inside this ROI.
The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, n...
ISBN:
(数字)9789811004513
ISBN:
(纸本)9789811004506
The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of Soft Computing. The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the proceedings are: imageprocessing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired algorithms, Signal processing, Problems related to Medical and Health Care, Networking Optimization Problems, etc.
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