Stationary CCTV cameras are often used to help monitor car movements and detect any anomalies-e.g., accidents, cars going faster than the allowed speed, driving under the influence of alcohol, etc. The height of the c...
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ISBN:
(纸本)9781479920976
Stationary CCTV cameras are often used to help monitor car movements and detect any anomalies-e.g., accidents, cars going faster than the allowed speed, driving under the influence of alcohol, etc. The height of the cameras can limit their effectiveness and the types of imageprocessing algorithm which can be used. With advancements in the development of inexpensive aerial flying objects and wireless devices, these two technologies can be coupled to support enhanced surveillance. The flying objects can carry multiple cameras and be sent well above the ground to capture and feed video/image information back to a ground station. In addition, because of the height the objects can achieve, they can capture videos and images which could lend themselves more suitably for the application of a variety of video and imageprocessingalgorithms to assist analysts in detecting any anomalies. In this paper, we examine some main challenges of using flying objects for surveillance purposes and propose some potential solutions to these challenges. By doing so, we attempt to provide the basis for developing a framework to build a viable system for improved surveillance based on low-cost equipment.
Among the techniques for range ambiguity suppression, the azimuth phase coding (APC) stands out for its effectiveness for point and distributed targets with low implementation complexity. After modulation to the trans...
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ISBN:
(纸本)9781849196031
Among the techniques for range ambiguity suppression, the azimuth phase coding (APC) stands out for its effectiveness for point and distributed targets with low implementation complexity. After modulation to the transmitted signal and the corresponding demodulation to the received signal, the residual modulation phase of the ambiguity signal shifts its Doppler spectrum, so that the spectrum of the useful signal and that of the ambiguity are not exactly superimposed. This enables an azimuth filter to eliminate a part of the ambiguity power. If it is desired to get an ambiguity-free SAR image, the pulse reputation frequency (PRF) should be several times larger than the Doppler bandwidth of the desired Doppler spectrum, which is hard to be satisfied in high-resolution wide-swath spaceborne SAR systems. This paper introduces a method for range ambiguity suppression based on the APC technology in multichannel SAR systems when the PRF is only a bit larger than the Doppler bandwidth. After applying the APC technique, the space-time spectrum of the ambiguity swath is separated from that of the useful signal. In multichannel SAR systems, the desired 2-D spectrum and the spectrum of the ambiguity swath can be obtained simultaneously by using the position information of antenna phase centres. Conventional imaging algorithms can then be applied to both spectrums to obtain SAR images of the imaging area and the ambiguity swaths. Simulation results confirm the effectiveness of this method.
Asymmetric 3D-2D face recognition (FR) aims to recognize individuals from 2D face images using textured 3D face models in the gallery (or vice versa). This new FR scenario has the potential to be readily deployable in...
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ISBN:
(纸本)9781467355452
Asymmetric 3D-2D face recognition (FR) aims to recognize individuals from 2D face images using textured 3D face models in the gallery (or vice versa). This new FR scenario has the potential to be readily deployable in field applications while still keeping the advantages of 3D FR solutions of being more robust to pose and lighting variations. In this paper, we propose a new experimental protocol based on the UHDB11 dataset for benchmarking 3D-2D FR algorithms. This new experimental protocol allows for the study of the performance of a 3D-2D FR solution under pose and/or lighting variations. Furthermore, we also benchmarked two state of the art 3D2D FR algorithms. One is based on the Annotated Deformable Model (using manually labeled landmarks in this paper) using manually labeled landmarks whereas the other makes use of Oriented Gradient Maps along with an automatic pose estimation through random forest.
The Hough transform is a well-known straight line detection algorithm and it has been widely used for many lane detection algorithms. However, its real-time operation is not guaranteed due to its high computational co...
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The Hough transform is a well-known straight line detection algorithm and it has been widely used for many lane detection algorithms. However, its real-time operation is not guaranteed due to its high computational complexity. In this paper, we designed a Hough transform hardware accelerator on FPGA to process it in real time. Its FPGA logic area usage was reduced by limiting the angles of the lines to (-20, 20) degrees which are enough for lane detection applications, and its arithmetic computations were performed in parallel to speed up the processing time. As a result of FPGA synthesis using xilinx Vertex-5 XC5VLX330 device, it occupies 4,521 slices and 25.6Kbyte block memory giving performance of 10,000fps in VGA images(5000 edge points). The proposed hardware on FPGA (0.1ms) is 450 times faster than the software implementation on ARM Cortex-A9 1.4GHz (45ms). Our Hough transform hardware was verified by applying it to the newly developed LDWS (lane departure warning system).
image quality assessment (IQA) algorithms are important for image-processingsystems. And structure information plays a significant role in the development of IQA metrics. In contrast to existing structure driven IQA ...
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image compression is a kind of data compression technology. The aim of image compression is to reduce redundant information in image data. However, most image compression algorithms have problems such as computational...
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A well-defined three-dimensional (3-D) reconstruction of bone-cartilage transitional structures is crucial for the osteochondral restoration. This paper presents an accurate, computationally efficient and fully-automa...
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A well-defined three-dimensional (3-D) reconstruction of bone-cartilage transitional structures is crucial for the osteochondral restoration. This paper presents an accurate, computationally efficient and fully-automated algorithm for the alignment and segmentation of two-dimensional (2-D) serial to construct the 3-D model of bone-cartilage transitional structures. Entire system includes the following five components: (1) image harvest, (2) image registration, (3) image segmentation, (4) 3-D reconstruction and visualization, and (5) evaluation. A computer program was developed in the environment of Matlab for the automatic alignment and segmentation of serial sections. Automatic alignment algorithm based on the position's cross-correlation of the anatomical characteristic feature points of two sequential sections. A method combining an automatic segmentation and an image threshold processing was applied to capture the regions and structures of interest. SEM micrograph and 3-D model reconstructed directly in digital microscope were used to evaluate the reliability and accuracy of this strategy. The morphology of 3-D model constructed by serial sections is consistent with the results of SEM micrograph and 3-D model of digital microscope. [ABSTRACT FROM AUTHOR]
The analysis of semen plays an important role in male fertility evaluations [5]. Computer-aided Sperm Analysis systems have been working on providing more accurate information about the sperm motility and quantity. Ho...
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image compression is a kind of data compression technology. The aim of image compression is to reduce redundant information in image data. However, most image compression algorithms have problems such as computational...
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image compression is a kind of data compression technology. The aim of image compression is to reduce redundant information in image data. However, most image compression algorithms have problems such as computational complexity, computational load and so on. Parallel computing is an effective means to improve the processing speed. With the development of high-performance parallel processingsystems, parallel imageprocessingalgorithms provides more space for improving imageprocessing speed. And with the improvement of GPU performance, GPU is increasingly applied in the computing-concentrated data operation. According to the parallelism and programmability of CUDA, the acceleration for JPEG compression is addressed in this paper. CUDA makes it possible for GPU to do the general purpose computing. The powerful parallel computing power of CUDA GPU can improve the processing speed of JPEG image compression easily. For the parallel processing features and programmability of CUDA, this paper introduces a method of accelerating image compression based on CUDA. An optimal algorithm is proposed as well. The introduction of CUDA allows the image compression for nearly 20 to 24 times speedup. In the end of the paper, we optimize and test the program, and make the analysis of experimental results. Finally we summarize some hardware and software features of CUDA, and propose a basic method of optimizing CUDA kernels from the analysis of the experiment.
With the increasing wireless communication demands, frequency spectrum has become more and more limited and expensive. This paper proposes a novel optimization objective: minimizing the required frequency resource, on...
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