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We propose a visual SLAM (Simultaneous Localization And Mapping) system able to perform robustly in populated environments. The image stream from a moving RGB-D camera is the only input to the system. The computed map in real-time is composed of two layers: 1) The unpopulated geometrical layer, which describes the geometry of the bare scene as an occupancy grid where pieces of information corresponding...
Machine vision systems are used in industrial production areas to produce products with fast, perfect and high precision. These systems allow users to make highly accurate and non-contact measurements and can detect deficiencies in the production process. In this work, a machine vision based non-contact defect detection algorithm for printed circuit boards (PCBs) has been developed. In this approach,...
It is extremely difficult for visually impaired people to walk in strange places, because it is extremely challenging for them to know where they are, the direction in which to move, and the destination. Pedestrian navigation systems such as Google Maps have become popular as a result of the evolution and popularization of smartphones and portable tablet devices. However, it is difficult for visually...
Current commercial matrix transducers for 3D Dynamic Contrast-Enhanced Ultrasound (3D DCE-US) do not display side-by-side B-mode and contrast-mode images, thus leaving the operator with no position feedback during lengthy acquisitions. The purpose of this study was to demonstrate the feasibility of using tracking to provide positioning feedback and to assess resulting improvements in maintaining imaging...
This paper gives the results of an investigation on the use of exhaustive block matching techniques in detecting railway-line tracks in a video sequence with the view of implementing the outcome in a real-time system. The main focus of the research is to implement the exhaustive search block matching algorithm optimally and resolve any implementation problems that may arise. The algorithm is implemented...
This paper proposes a design of the procedure for interoperability between video surveillance systems and verifies whether these systems are interworked according to the designed interworking procedures. In order to verify the interworking procedure of video surveillance systems, we implemented interoperability verification monitoring system. Through implementation results, we prove that video surveillance...
This paper proposed a monocular vehicle detection for forward collision warning system. We use the active-learning framework to train a cascade classifier and use a two steps vehicle detection. We used five test data to quantify our detection performance, analyzing the two-stage vehicle detection improvement, and the overall detection rate and the false detection rate. In a good light condition, the...
India is primarily an agriculture-based country and its economy largely depends upon the agriculture. But, most of the crops grown by the farmer are affected by weeds. Weed identification and control remains one of the most challenging tasks in agriculture. The most widely used methods for weed control is manual spraying of herbicides. But, this method has several negative impacts. Since hand labor...
Accurate motion capture and flexible retargeting of underwater creatures such as fish remain to be difficult due to the long-lasting challenges of marker attachment and feature description for soft bodies in the underwater environment. Despite limited new research progresses appeared in recent years, the fish motion retargeting with a desirable motion pattern in real-time remains elusive. Strongly...
Use of camera has increased among professionals and nonprofessionals in recent years and videos are being captured widely and wildly for information, knowledge, surveillance, adventures and memories. So these videos are highly vulnerable to suffer from translational and rotational noises. These noise are caused by multiple factors and it is difficult to remove all those causes. So digital video stabilization...
Markerless Augmented Reality (AR) registration using the standard Homography matrix is unstable, and for image-based registration it has very low accuracy. In this paper, we present a new method to improve the stability and the accuracy of marker-less registration in AR. Based on the Visual Simultaneous Localization and Mapping (V-SLAM) framework, our method adds a three-dimensional dense cloud processing...
This paper proposes a low-cost video-based Real-Time Pupil-Tracking embedded system which will allow people with reduced mobility to control a wheelchair through their eyes. The main aspect of the method is its capacity to be implemented in a portable computing system, reduced both in computing power and in RAM memory. The Pupil-Tracking system is based on Feedforward Neural Networks-using offline...
More and more uncooled terahertz (THz) real-time imaging cameras are being developed and commercialized. For image analysis, the characterization of the optical performance is an important issue. We tested the TZCam camera that integrates the CEA-Leti based on micro-bolometer array coupled to antennas and a resonant cavity structure, and equipped with a terahertz objective. A numerical tool kit has...
The growing interest in recent years for gender recognition from face images is mainly attributable to the wide range of possible applications that can be used for commercial and marketing purposes. It is desirable that such algorithms process high resolution video frames acquired by using surveillance cameras in real-time. To the best of our knowledge, however, there are no studies which analyze...
Real-time image processing on low cost embedded systems is still a challenging research area. For this embedded platform, there is a trade-off between accuracy and processing time. We proposed a pedestrian detection method for thermal images that can perform in real-time on a Raspberry Pi embedded system while still keeping the accuracy high. Our detection framework is based on the conventional HOG-based...
People with impairment and having difficulties to walk, even impossible to move due to illness, injury, or disability need assistance tool. One assistance tool to help those people is wheelchair. With current technological developments, conventional wheelchair can be improved. Conventional wheelchair which operated by hand cannot be used by people with hand-foot impairment, as well as electric-powered...
Information and Communication Technology is always walking in the forefront of human education. Now, it is the stage where human education has to adapt itself to the developing technologies. In 2016, the Natural Science Foundation suggested that people need to use the human-technology to improve and extend the human learning. This paper provides the concept of Software Defined Class (SDC), where the...
This paper designed a precise high-speed tracking and pointing Control system of Camera based on FPGA. The control system can control the remote sensing camera lens moving accurately and flexibly. The system had the function of control angle position control speed and stable speed regulation. We used the step motor to be actuator. The acceleration and deceleration process was stable, effective and...
Robot teleoperation, such as for search and rescue, uses multiple specialized cameras (e.g., wide environmental and sharp narrow views) to aid in task awareness. Simple display techniques, such as tiling, require ongoing mental mapping between the views; cameras that pan or tilt exacerbate the problem as the inter-view relationship changes. The detail-in-context technique bypasses this mental mapping...
Many recent works have successfully leveraged motion information (i.e., dense optical flow) for a variety of problems. In this paper, we introduce a methodology to capture motion information using high-speed event-based cameras combined with convolutional neural networks (CNN). Our motion event features (MEFs) succinctly capture motion magnitude and direction in a form suitable for input into a CNN...
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