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Eye tracking is the method of tracking the user's eye gaze or where he is looking relative to his head. Its applications and studies were mostly done on general purpose computers. This study focuses on implementing an eye tracking system on a Field Programmable Gate Array (FPGA) and specifically a text-typing application. Using state machines implemented in Verilog – a hardware description language...
Structured light 3D camera systems are composed of a commercial video projector and a machine vision camera. High scan speed structured light 3D camera systems, suffers synchronization problems due to a mismatch in the projector screen refresh rate, and camera capturing speed. Commercial video projectors project with fixed refresh rate, frame rate of machine vision camera's increase or decrease with...
Stereo matching systems that generate dense, accurate, robust and real-time disparity maps are quite attractive for a variety of applications. Most of the existing stereo matching systems that fulfill to all of these requirements adopt the Semi-Global Matching (SOM) technique. This work proposes a scalable architecture based on a systolic array, fully pipeline. The design builds on a combination of...
The high-speed camera is an imaging device that records a particular transient state or all of the high-speed processes. It can accurately record the transient process of the high-speed target in real time and thus allow us to achieve the purpose of analysis of high-speed process through the slow motion playback. So the high-speed camera becomes an important tool for the study of the transient phenomena...
Simultaneous Localization and Mapping or SLAM, is a family of algorithms that solve the problem of estimating an observer's position in an unknown environment while generating a map of that environment. SLAM algorithms that produce high quality dense maps require powerful hardware platforms. In the simultaneous solution of these two problems, Localization, also known as Tracking, is the one that is...
The widely accepted block-matching technique, which is required to identify motion vectors, fails in cases in which texture is not existent. In [1], we proposed a hardware-oriented cellular-automaton algorithm that generates spatial patterns on textureless objects and backgrounds, aiming at motion-vector estimation of textureless moving objects. This demonstration presents a field-programmable gate...
Intraoperative thermographic imaging, associated with time-resolved data analysis, is used to identify and visualise functional areas and pathological tissue in brain surgery. In this contribution we propose a hardware-software system for real-time pre-processing, fusion, and analysis of concurrent infrared and whitelight recordings. As a proof-of-concept, a digital temporal filter is applied to the...
Laser triangulation applications are commonly used for industrial quality control. Such algorithms require real-time systems often made of a computing unit close to the image sensor through a short and fast link. Choosing a camera with integrated Field Programmable Gate Array (FPGA) as the computing unit can provide high pipeline and parallel computing adapted to process image in real-time. Moreover,...
In recent years, there has been an increasing growth of using vision-based systems for tracking the players in team sports to evaluate and enhance their performance. Vision-based player tracking has high computational demands since it requires processing of a huge amount of video data based on the utilization of multiple cameras with high resolution and high frame rates. In this paper, we present...
The use of image processing is being accelerated over the past years in areas, including artificial intelligence, medical field, remote sensing and microscopic imaging. For 3D reconstruction of the objects, deflectometry is used to collect topographic information of surfaces. Due to computationally intensive nature of the algorithm, the execution time is one of the challenges faced by the deflectometry...
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...
The EU funded project RADIO brings forward a new health care paradigm according to which a mobile robot platform can act as assistant to an elderly person in his/her domestic environment. Under this context, unobtrusiveness is of paramount importance since the robot should be a natural participant of patients' daily life. However, robot assistance in everyday living still suffers from limited autonomy...
This paper presents an satellite camera imaging system using area CCD based on FPGA. FPGA was adopted to act as a center unit to generate timing logic signals of the CCD and control the A/D converter, etc. The three-wire serial interface is used to communicate with the management and control system on the satellite. The image data of the CCD is coded by the imaging system and converted to the required...
Rapid and low power computation of optical flow (OF) is potentially useful in robotics. The dynamic vision sensor (DVS) event camera produces quick and sparse output, and has high dynamic range, but conventional OF algorithms are frame-based and cannot be directly used with event-based cameras. Previous DVS OF methods do not work well with dense textured input and are designed for implementation in...
Autonomous aerial vehicles perofrming visual tasks must operate under low-power, small-size, and light-weight constraints. We demonstrate an event-based dewarping task using a neuromorphic camera and processor for efficiently performing this visual task for a mobile quadcopter in real-time.
The road lane detection technique is developed based on an on-board PC-based vision system. Different image processing techniques were adopted to find out the lane relative location on camera image, This lane information is integrated with vehicle frontal view laser scanning information to plan the vehicle moving path based on cubic-spline trajectory planning and generate the vehicle steering angle...
Estimating the depth from two images with a baseline has a well-known regular problem: When a line is parallel to the epipolar geometry it is not possible to estimate the depth from pixels on this line. Moreover, the classic measure for the certainty of the depth estimate fails as well: The matching score between the template and any pixel on the epipolar line is perfect. This results for common scenes...
Dense depth map estimation from stereo cameras has many applications in robotic vision, e.g., obstacle detection, especially when performed in real-time. The range in which depth values can be accurately estimated is usually limited for two-camera stereo setups due to the fixed baseline between the cameras. In addition, two-camera setups suffer from wrong depth estimates caused by local minima in...
Today's cyber-physical systems (CPS) for the emerging Smart cities includes hardware and software with intelligent sensing and controls. In Smart cities, the use of high definition images, videos, and context information has become a requirement for urban street data collection and processing. Field Programmable Gate Array enabled data centers and processing shows the great potential for its high...
Advanced driver assistance systems such as Forward Collision Warning or Lane Departure Warning on automobiles rely heavily on a vision-based system. One such system is a monocular camera that is mounted inside the cabin on the center of the windshield. This module has a temperature sensitive FPGA and Image Sensor. The module sees extreme temperature environments due to high solar radiation in the...
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