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Object tracking in real time is one of the most important topics in the field of computer Vision. The work undertaken in this dissertation is mainly focused on development of a reliable and robust real time tracking system that can track the object of interest in the video acquired from a stationary or moving camera. The proposed algorithm is a real time algorithm that operates in 25 frames per second...
A new approach blends a new camera architecture based on a digital micro-mirror device with the new mathematical theory and algorithms of compressive sampling. The “single-pixel” compressive digital camera functions by the method of focussing the desired image onto a digital micro-mirror device (DMD) consisting of an array of N tiny mirrors. Camera architecture employs a digital micromirror array...
This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted...
This paper presents a model of monitoring method in videos and imagines. In the case of a fixed camera, when moving object appears, all data indicating object movement will change greatly. The real moving target will be detected after processing the data which larger change. The accuracy and instantaneity of will be tested by MATLAB stimulation.
This paper presents FPGA based VGA display interface design for image display verification during test procedure in the star sensor debugging phase. Methods of asynchronous FIFO, methods for data update during line blanking interval and vertical blanking interval were adopted, and CCD camera's requirements for special sequential order were satisfied, and the metastable state problem caused by data's...
A high quality image can be synthesized by combining several differently exposed low dynamic range (LDR) images of the same scene. For scenes under low lighting condition, cameras are usually set to high sensitivity mode to reduce exposure times and avoid motion blur on captured images. However, those images tend to be noisy and the noise severely degrades the visual quality of final image especially...
With the arrival of High Definition Television (HDTV), the TV technology is heading towards 3DTV. Evolution of 3DTV requires the facility of capturing and analyzing the multi-view images and compressing and transmitting massive volume of data through the communication channel. The most sever issue in 3D shape extraction is the roughness of the surfaces. Image focusing is a dominant method of reconstructing...
Motion detection is a vital part of vision systems, either biological or computerized. Conventional motion detection methods in machine vision can differentiate moving objects from background, but cannot directly handle different types of motions. In this paper, we present Genetic Programming (GP) as a method which not only removes relatively stationary background, but also can be selective on what...
The paper designs a common image acquisition system for digital cameras with Camera Link interface. The system uses CMOS image sensor of 1.3 million pixels as the light-sensitive chip and high-performance FPGA as the main controller. In order to meet ease of use and high real-time demands, the system uses high-speed USB2.0 interface to transfer image data between the acquisition system and PC. Further...
The complexity of hand function is such that most existing upper limb rehabilitation robotic devices use only simplified hand interfaces. This is in contrast to the importance of the hand in regaining function after neurological injury. Computer vision technology has been used to identify hand posture in the field of Human Computer Interaction, but this approach has not been translated to the rehabilitation...
Identifying events in sports video offers great potential for advancing visual sports coaching applications. In this paper, we present our results for detecting key events in a tennis match. Our overall goal is to automatically index a complete tennis match into all the main tennis events, so that a match can be recorded using affordable visual sensing equipment and then be automatically indexed into...
This paper deals with the video surveillance problem in static camera. The aim is to design a moving object detection system based on advanced CPU DM6437. After capturing the pictures according to the timing, the background model is established without the objects and the background information is real-time updated due to the changes of the environment. After that, background subtraction is used so...
An easy way to achieve higher depth of field in a camera-laser configuration is to tilt the image sensor respect to the lens plane, such that the image plane, laser plane and the lens plane intersect in a unique line (Scheimpflug condition [1]). If something has to be measured with this kind of cameras, a proper camera calibration must be done. The usual calibration methods are not valid in this case...
For future applications like 3DTV and free view point TV, the video data format is likely to comprise of multiple views plus pre-estimated geometric information such as a depth map corresponding to each view. By using multi-view video plus depth (MVD), it is possible to efficiently render virtual views in decoder site. However, the error and packet loss during the transmission will result in the distortion...
An increase in population of elderly people living in isolated environments, leads to the need for an automated monitoring system. Fall is one of the major reasons for death of elderly people. So fall detection is an essential part of an automated indoor monitoring system. Video based automatic fall detection is robust and more reliable than other fall detection methods. Most of the available video...
We present the concept and realization of a micro plenoptic camera to achieve multiple viewpoint imaging with one single image capture and without moving the camera. The micro plenoptic camera is based on lightfield photography where the camera captures the 4- dimensional lightfield and images it onto a 2- dimensional CCD sensor through the use of a microlens array. The microlens array was fabricated...
We present a straightforward method for measuring in-plane linear displacements of microelectromechanical systems (MEMS) with subnanometer resolution. The technique is based on Fourier transform analysis of a video recorded with a Charge-Coupled Device (CCD) camera attached to an optical microscope and can be used to characterize any device featuring periodic patterns along the direction of motion...
We have proposed a panoramic video synthesis method that uses a layered probability mapping method to generate high-quality three-dimensional (3D) images. The method's algorithm required a certain amount of synthesis calculation for estimating the presence of objects within an overall scene.
Fisheye cameras are widely used in various applications like surveillance, robotic vision, automobile rear-view imaging systems etc. But the images captured by fisheye lens are hemispherical and objects away from the center of image look curved due to lens distortion. Hence it is a challenge for an end user to interpret the data correctly from these images. The solution lies in digitally processing...
This paper presents an extension of image rectification methods for an arbitrary number of views with aligned camera center. This technique can be used for stereoscopic rendering to enhance the perception comfort or for depth from stereo. In this paper, we first expose that epipolar geometry is not suited to solve this problem. Then we propose a non linear method that includes all the images in the...
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