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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...
For live television broadcast such as the educational program for children conducted through viewer participation, the smooth integration of virtual contents and the interaction between the casts and them are quite important issues. Recently there have been many attempts to make aggressive use of interactive virtual contents in live broadcast due to the advancement of AR/VR technology and virtual...
Human Computer Interaction (HCI) is a broad research field based on human interaction with computers or machines. Basically, Hand Gesture Recognition (HGR) is a subfield of HCI. Today, many researchers are working on different HGR applications like game controlling, robot control, smart home system, medical services etc. The purpose of this paper is to represent a real time HGR system based on American...
Live instructors perspective videos are useful to present intuitive visual instructions for trainees in medical and industrial settings. In such videos, the instructors hands often hide the work area. In this demo, we present a diminished hand for visualizing the work area hidden by hands by capturing the work area with multiple cameras. To achieve the diminished reality, we use a light field rendering...
A novel prototype of MR (Mixed Reality) Sand Table is presented in this paper, that fuses multiple real-time video streaming into a physically united view. The main processes include geometric calibration and alignment, image blending and the final projection. Firstly we proposed a two-step MR alignment scheme which estimates the transform matrix between input video streaming and the sand table for...
Gesture recognition enables human to communicate with machine and interact naturally without any mechanical devices. The ultimate aim of gesture recognition system is to create a system which understands human gesture and use them to control various other devices. This research focuses on gesture recognition system with a radial basis function network. The radial basis function network is a 3 layer...
Family security is one of the key goals of a digital home system. At present, webcams are widely used in home remote monitoring systems. This is due to the fact that its passive monitoring nature leaves a potential security problem and cannot be used for providing proactive security. To solve this problem, this paper proposes the design of a remote embedded intelligent security monitoring system based...
The concept of Augmented Reality is a technology in which the interaction between the human-computer that can generate two-dimensional or three dimensional object in real time. Augmented reality can provide the necessary functions and information in its application. In this case the augmented reality (AR) just need a tool like a camera that can capture images by detecting the object without the marker...
An individual may be interested in inquiring the speed of different objects commonly shown in our daily lives. Human mind can detect moving objects easily and same can be done with computer using single camera. There are devices which can measure speed mostly these uses frequency transmit and receive to estimate speed. Cameras also can be used to measure speed of objects by using image processing...
Head pose estimation is a crucial and challenging mission in video-surveillance, human computer interaction (HCI) and visual focus of attention (VFOA). On missing depth information this procedure turns particularly complicated. As core fraction of surveillance, which is fundamental to simplify head pose estimation for high-efficiency production in order to construct a real time system. In this paper,...
On-going progressions of Information Technology increase the scope for computer vision-based interventions to facilitate efficient and promising technology for people with disabilities. This project aims to develop a wearable navigational assistive device, titled EyeVista, to facilitate visually impaired sprint athletes. It is a lightweight, easy-to-use, customizable and low-cost wearable jacket built-in...
In this study, we developed a real-time GPU-based high frame rate (HFR) high dynamic range (HDR) imaging system at 500 fps from sequential 4 different low dynamic range (LDR) exposures which exposure time is controlled automatically by our high-speed virtual multi-thread exposure control module. Our automatic exposure (AE) control system is separated as 4 different threads virtually to simultaneously...
This paper presents a three dimensional localization of an unmanned aerial vehicle implemented in real time. The localization is carried on by means of trilateration using a moving formation of omnidirectional robots as stations, and an aerial vehicle as the receiver. The mathematical tools used are explained. The propagation of errors is calculated from measurements in the omnidirectional robots...
Underwater computing systems have recently emerged as a new technology for underwater applications. In our previous work, we employed various nodes (processing nodes, gateway nodes, and sensing nodes) that are used to construct different candidate computing architectures (i.e. single, pipeline, and hybrid of parallel/pipeline). In this paper, we use these computing architectures in a real world scenario...
Video based heart rate estimation has several advantages compared to the classical method. Current approaches use long time windows (30sec) to calculate heart rates, which results in high latency and is a big disadvantage for a practical use. To overcome this constraint, we propose a low latency approach for continuous frame based heart rate estimation. It is based on combination of face tracking...
The scientific problem of real-time camera-based document image retrieval is achieved by computing the image features adapted to this acquisition mode i.e. the image features which are highly discriminative even under challenging conditions of camera capture as well as which are light to be computed. In this paper, we propose new extension features to our previously proposed SRIF descriptor. The new...
In this paper we introduce a novel solution for real-time 3D hand gesture analysis using the embedded 2D camera of a mobile device. The presented framework is based on forming a large database of hand gestures including the ground truth information of hand poses and details of finger joints in 3D. For a query frame captured by the mobile device's camera in real time, the gesture analysis system finds...
Obstacle detection and avoidance is playing very important role in field of mobile robot navigation, space exploration and automation industries for safety of robot. In this study paper we are proposing a real time obstacle detection and avoidance algorithm using passive stereoscopic Kinect camera. The basic idea behind the obstacle detection method is to find a depth map of image captured by Kinect...
Broadcasting of real-time video, especially accidents relevant, plays an important role in Vehicle Ad-hoc Networks (VANETs). Multi-view video enables the perception of the targeted scene from multiple angles. By subscribing the real-time multi-view video broadcast, drivers can obtain better knowledge of the highway traffic and road conditions. However, compared with the traditional single view video...
In this paper, we describe how to establish an embedded framework for real-time top-view people counting. The development of our system consists of two parts, i.e. establishing an embedded signal processing platform and designing a people counting algorithm for the embedded system. For the hardware platform construction, we use Kinect as the camera and exploit NVIDIA Jetson TK1 board as the embedded...
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