Aerial targets such as missiles and aircrafts at far distance projected on image plane as point or small targets in infra-red and visible video. These targets lack apriori information about target dynamic, shape and s...
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ISBN:
(纸本)9781728106465
Aerial targets such as missiles and aircrafts at far distance projected on image plane as point or small targets in infra-red and visible video. These targets lack apriori information about target dynamic, shape and size. Detection and tracking of such targets has been reported challenging task Hence, point or small size target detection algorithms become focus of long range detection and tracking systems. Generally, pre-processing is carried out on the input frame to predict the background and consequently enhance the target signature. In some scenario, post-processingalgorithms are also required to reduce the false alarms. In this paper, we propose an efficient and innovative scheme for real-time implementation of point or small size target detection algorithm on PowerPC Single-Board Computer (SBC) by utilizing the parallel computing feature of AltiVec vector processing unit to achieve real-time processing. Results demonstrate the real-time processing of video with hardware results matching the simulation results.
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.
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.
Despite the benefits introduced by robotic systems in abdominal Minimally Invasive Surgery (MIS), major complications can still affect the outcome of the procedure, such as intra-operative bleeding. One of the causes ...
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Despite the benefits introduced by robotic systems in abdominal Minimally Invasive Surgery (MIS), major complications can still affect the outcome of the procedure, such as intra-operative bleeding. One of the causes is attributed to accidental damages to arteries or veins by the surgical tools, and some of the possible risk factors are related to the lack of sub-surface visibilty. Assistive tools guiding the surgical gestures to prevent these kind of injuries would represent a relevant step towards safer clinical procedures. However, it is still challenging to develop computer vision systems able to fulfill the main requirements: (i) long term robustness, (ii) adaptation to environment/object variation and (iii) real time processing. The purpose of this paper is to develop computer vision algorithms to robustly track soft tissue areas (Safety Area, SA), defined intra-operatively by the surgeon based on the real-time endoscopic images, or registered from a pre-operative surgical plan. We propose a framework to combine an optical flow algorithm with a tracking-by-detection approach in order to be robust against failures caused by: (i) partial occlusion, (ii) total occlusion, (iii) SA out of the field of view, (iv) deformation, (v) illumination changes, (vi) abrupt camera motion, (vii), blur and (viii) smoke. A Bayesian inference-based approach is used to detect the failure of the tracker, based on online context information. A Model Update Strategy (MUpS) is also proposed to improve the SA re-detection after failures, taking into account the changes of appearance of the SA model due to contact with instruments or image noise. The performance of the algorithm was assessed on two datasets, representing ex-vivo organs and in-vivo surgical scenarios. Results show that the proposed framework, enhanced with MUpS, is capable of maintain high tracking performance for extended periods of time (similar or equal to 4 min - containing the aforementioned events) with high precisi
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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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.
Secure encryption algorithms with advanced key executive techniques constantly help to achieve privacy, verification, and security of the data and curtail the overheads of the system. Currently, the prominent cryptogr...
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ISBN:
(数字)9781728112619
ISBN:
(纸本)9781728112626
Secure encryption algorithms with advanced key executive techniques constantly help to achieve privacy, verification, and security of the data and curtail the overheads of the system. Currently, the prominent cryptographic technique is the Advance Encryption Standard (AES). The 128-bit pipelined cipher AES components adopt the symmetric-block cipher algorithm for encryption of the data. Our application achieves a high-level of encryption of 25.6 Gbps with an effective inter-and-intra-round layout. This module is designed on Xilinx ISE® Design Suite 14.7 and optimized for faster conversion speeds as the module is based on the pipeline architecture to perform the repeated array of operations known as the round. The designed module is suitable for high-security data communication, imageprocessing, and other embedded applications. Pipelined architecture reduces the time associated with each encryption process and decreases the total time it takes for a plaintext block to encrypt.
While classical imageprocessingalgorithms were designed for scalar-valued (binary or grayscale) images, new technologies have made it commonplace to work with vector-valued ones. These technologies can involve new t...
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ISBN:
(纸本)9783319668246;9783319668239
While classical imageprocessingalgorithms were designed for scalar-valued (binary or grayscale) images, new technologies have made it commonplace to work with vector-valued ones. These technologies can involve new types of sensors, as in remote sensing, but also mathematical models leading to an increased cardinality at each pixel. This work analyzes the role of first-order differentiation in vector-valued images;specifically, we explore a novel operator to produce a 2D vector from a Jacobian matrix, in order to represent the variation in a vector-valued image as a planar feature.
In industrial collaborative robotics, operators and robots perform complex tasks working together without physical barriers. Under this premise, the availability of a flexible, robust and fast interaction system betwe...
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In industrial collaborative robotics, operators and robots perform complex tasks working together without physical barriers. Under this premise, the availability of a flexible, robust and fast interaction system between the robot and the workers is a necessity. Human beings use voice and gestures to achieve a natural interaction. Taking into account the environmental conditions usually present in workshops with noise and poor lighting conditions, combining both communication channels can contribute to make the interaction more robust. This research work presents a solution to define, setup and run a flexible and robust gesture interaction system to integrate in collaborative robotics applications. (C) 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 51st CIRP conference on Manufacturing systems.
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