This article presents the development of an image-based sun position sensor and the algorithm for how to aim at the Sun precisely by using image processing. Four-quadrant light sensors and bar-shadow photo sensors were used to detect the Sun's position in the past years. Nevertheless, neither of them can maintain high accuracy under low irradiation conditions. Using the image-based Sun position...

In this paper, we present an image object tracking system for GPGPU based CAMshift algorithm. For image object tracking, we use the parallel CAMshift tracking algorithm based on the HSV color image distribution of detected moving objects. In this, RGB-to-HSV color conversion, image masking such as open and close operation for image morphology, and computing of centroid are executed in parallel....

Image recognition and tracking system is the function of the surveillance cameras and camera tracking automatic tracking / shooting. The function of binocular vision includes dual CMOS synchronous motion control, dual channel video acquisition, feature extraction, image matching, object location, depth calculation. AVI video stream directly is processed by image stabilization algorithm, the ima...

This Thesis describes novel image template based methods for robust and real-time capable tracking and visual quality inspection tasks in harsh environments. The presented tracking methods include three different constitutive approaches. First, a spline-regularized template tracking method applied for weld seam tracking in industrial robotic welding environments is presented. Second, a template...

Object tracking is a very essential task in many applications of computer vision such as surveillance, vehicle navigation, autonomous robot navigation, etc. It contains detection of interesting moving objects and tracking of such objects from frame to frame. Its main task is to find and follow a moving object or multiple objects in image sequences. Normally there are three stages of video analy...

In the past several years, the speed of standard processors has reached the point where interesting problems requiring visual tracking can be carried out on standard workstations. However, relatively little attention has been devoted to developing visual tracking technology in its own right. In this article, we describe X Vision, a modular, portable framework for visual tracking. X Vision is de...

In this paper, we present a robust real-time surveillance system of image object tracking for Pan-Tilt-Zoom(PTZ) camera. For image object tracking, we use the CAM shift tracking algorithm based on the HSI color image distribution of detected moving objects. CAM shift algorithm is very efficient for real-time tracking because of its fast and robust performance. In this system, C++ and OpenCV env...

We present a multiple object tracking framework that employs two common methods for tracking and image matching, namely, Multiple Hypothesis Tracking (MHT) and Hausdorff image matching. We use MHT algorithm to track image edges simultaneously. MHT algorithm is capable of tracking multiple edges with limited occlusions and is suitable for resolving any data association uncertainty caused by back...

In multi-cells’ tracking of time-lapse image sequences imaged by optical microscope, problem of tracking active cells correctly is still unsolved. It affects tracking accuracy and speed whether an algorithm can predict the position of the active cells or not. The tracking strategy is guided by Kalman forecast in image Cartesian coordinates systems, which may search target cells via minimizing t...