This paper presents and briefly describes the state of the art of accelerating image processing with graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an open source multiplatform library for GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. GpuCV is des...

Iris recognition is one of the most accurate biometric methods in use today. However, the iris recognition algorithms are currently implemented on general purpose sequential processing systems, such as generic central processing units (CPUs). One of the remaining problems in iris recognition is the implementation of its efficient hardware systems. This proposed work uses a hardware Beagleboard-...

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...

Modern image collections cannot be processed efficiently on one computer due to large collection sizes and high computational costs of modern image processing algorithms. Hence, image processing often requires distributed computing. However, distributed computing is a complicated subject that demands deep technical knowledge and often cannot be used by researches who develop image processing al...

In this paper, a method of combining face detectors is proposed, which is based on the geometry of the competing face detection results. The main idea of the method consists in finding groups of similar face detection results obtained by several algorithms and further averaging them. The combination result essentially depends on the number of algorithms that have fallen in each of the groups. T...

The goal of this paper is to present the development of a tracking technology to interact with a virtual object. This paper presents the general procedures of building a simple, low cost tracking system by using Wiimote (a remote of Nintendo game console) and the Open source Computer Vision (OpenCV) software library as well as interfacing the tracking system with an immersive virtual environmen...

This paper presents briefly describes the state of the art of accelerating image processing with graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an open source multi-platform library for GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. GpuCV is design...

Face detection is a very challenging and interesting problem. In this paper, we discussed an application for automatic face detection and tracking on video streams from surveillance cameras in public or commercial places. In many situations it is useful to detect where the people are looking for, e.g. in exhibits, commercial malls, and public places in buildings. So prototype is designed to wor...

In this paper, we implement a real-time surveillance system for image object tracking using PTZ (Pan-Tilt-Zoom) cameras. For this, we use the mean shift tracking algorithm based on the color image distribution of detected object. Mean shift algorithm is efficient for real-time tracking because of its fast and stable performance. In this system, OpenCV environment is used for image processing an...