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Low light situations pose a significant challenge to individuals working in a variety of different fields such as firefighting, rescue, maintenance and medicine. Tools like flashlights and infrared (IR) cameras have been used to augment light in the past, but they must often be operated manually, provide a field of view that is decoupled from the operator's own view, and utilize color schemes that...
In order to obtain real-time accurate detection of smoke in the panoramic area, a visual-based smoke early warning system is designed. A 180-degree holographic and high speed camera is equipped as the video capture part of the system, and the video acquisition and target lock functions are implemented. The intelligent recognition function is separated into three steps. Firstly, the suspected smoke...
A wireless camera network can provide situation awareness information (e.g., humans in distress) in scenarios such as disaster recovery. If such camera sensors are battery operated, sending raw video feeds back to a central controller can be expensive in terms of energy consumption. Further, if all cameras were to use the optimal processing algorithm for object decision, they may also expend unnecessary...
Several methods for capturing motion data from single video have been reported in computer vision literature, and most of them deal with stationary background. The problem becomes more complex and challenging in a moving scene where traditional background subtraction algorithms often fail. We require robust algorithms for marker-less tracking of human body's movements and for extracting motion information...
In today's world data represented in the form of a video are prolific and has increased the requisite of storage devices unconditionally. These video sets takes up a huge space for amassing data and takes a long time to ascertain the content that requires a higher cognitive process for content search and retrieval. The efficient method for storing video data is to remove high-degree redundancies and...
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...
Currently, eye localization has been a popular research field, amount of methodologies and algorithms were proposed. However, most of them focused on improving detection's precision under static environment whereas required a high demand on computational resources, which leads to an obvious defect—low efficient performance in real-time video streaming eye detection. To solve this problem, an efficient...
In this work, an autonomous surveillance system providing ultra wide angle (UWA) video information is presented using multi-UAV platform. Towards this end, a fleet of UAVs are initially deployed into appropriate formation (such as triangle, diamond, or line) with cameras pointing outwards to cover the region of interest (ROI). In aid of image processing technique, the UAVs formation will be further...
This paper introduces the design and implementation measures of the network video surveillance system based on embedded system. This system chooses S3C2440 which based on ARM9 architecture as an embedded processor and uses the stable and efficient Linux system as its operating system. Based on the ordinary remote network video surveillance system, a new algorithm for detecting moving abject is added,...
Diminished reality (DR) aims at removing objects auto-matically in live video streams, in a way which is unrecognizable to human observers. Approaches working on mobile devices utilize image inpainting algorithms to fill the holes (target region) of the removed objects in a plausible way. We propose a new DR algorithm, which extracts a scene model from a sparse point cloud of a mono SLAM algorithm...
If the images are to be analyzed by a computer rather than viewed, there’s no need to worry about whether the illusion is a good one, but you might still need to record lots of frames each second to track the action properly.
Mobile videos contain rich information which could be utilized for various applications, like criminal investigation and scene reconstruction. Today's crowd-sourced mobile video retrieval systems are built on video content comparison, and their wide adoption has been hindered by onerous computation of CV algorithms and redundant networking traffic of the video transmission. In this work, we propose...
The importance of developing ambient assisted living technologies (AALT), intended to monitor elderly person activity in their home environment, increases in recent years. Among many approaches, systems based on the optical observation have became popular. Consequently, there is a need of developing robust and fast video analysis platforms and algorithms. In this paper, we propose the use of wearable...
Multimodal computer interfaces and examples of their applications to education software and for the disabled people are presented. The proposed interfaces include the interactive electronic whiteboard based on video image analysis, application for controlling computers with gestures and the audio interface for speech stretching for hearing impaired and stuttering people. Application of the eye-gaze...
This work describes a new approach to the mobile robot orientation in space and its obstacle determination. The method uses color beacons placed on the environmental objects for position determination. For obstacle detection the computer vision algorithm is used. All the system functions using one single camera. Both algorithms developed are investigated under different conditions.
The emerging cloud gaming technology has been growing fast, driving up huge mobile consumer demands. The video streaming based cloud gaming scenario renders the game scenes in the cloud servers, and streams the encoded sequences to the thin clints where the game scenes are decoded and displayed to the players. However, current existing clouding gaming services have some problems, such as the latency...
This paper presents an automatic system which after a simple previous configuration is able to detect and track each one of the players on the court or field in single player sports. After that, the system is able to extract statistics and performance of the players. This system is complete, general and modular, to be improved and modified by future work. The system is based on a monocamera detection...
This paper presents an efficient video surveillance system which consists of a network camera and an algorithm for automatically detection of the human faces in the monitoring area via real time video contents analysis. The main contribution of this research consists in a software application which is able to process the images received from the camera in order to detect human faces and trigger the...
This work proposes an intelligent and interactive virtual fence system for security management in a danger-or accident-prone area. The proposed system is designed to be realized in an outdoor and wide-area park. With the proposed system, users can visually and arbitrarily define the polygonic alert area for the sake of security. The Gaussian Mixture Model (GMM) and AdaBoost algorithms are modified...
This paper presents the use of Visual C++ integrated with OpenCV library as a framework for video analysis applications. Conventionally, applications are developed and control using textual-based Win32 console. In this work, however, the library can be applied in Windows form that helps users to visually control algorithms implemented in applications. The framework, written in OOP style, tailors the...
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