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This article presents a robust, real-time background subtraction algorithm able to operate properly in complex dynamically changing visual conditions and indoor/outdoor environments, based on a single, cheap monocular camera, like a webcam. This algorithm uses an image grid and models each pixel of the grid as a mixture of adaptive Student-t distributions. This approach makes this algorithm robust...
In this paper we propose a local space-time descriptor to be employed for behaviour analysis in video-surveillance applications. We show how this local video representation is able to extract scene semantics in both a supervised (behaviour recognition) and semi-supervised (anomaly detection) setup. Our approach yields state-of-the art performance on two publicly available datasets and is not computationally...
Humans can perform fast and skillful manipulations using various parts of the body by effectively utilizing the dynamics of the targets. Visual sensation is the most important human sense used for such manipulations. Juggling is one such example involving skillful and dynamic manipulations, and visual information is essential for it to be successful. Previously, there have been several studies about...
Contemporary web browsers do not provide customized recommendations for the users; rather than some suggestions based on cookies or browsing history after content filtering. Usually, most of the users provide some key words to search the contents inside their preferred websites and based on these key words web servers provide the contents. So, it would be an interesting and important idea to provide...
Depth camera has gained much more attention in applications of human computer interactivity. In this paper, we present an approach to tracking 3D human pose by constructing/estimating an articulated upper body joint model from depth data captured by Kinect camera. The system first calibrates the human pose parameters by processing the depth data of an initial pose. After that, the dynamic programming...
Problem of fake image in ID card spreads all over the world e.g. false Thai national ID card in Thailand. This problem is quite difficult to detect because appearances of human face always change. Digital image watermarking for photo authentication in Thai national ID card is therefore proposed in this paper to overcome such a problem. Basically, a watermark signal consisting of ID code is embedded...
Foreground-background segmentation is an important problem in computer vision, and it has many applications. We propose a technique of Automatic foreground-background segmentation based on depth from coded aperture. This method first calculates a coarse depth map using technique of coded aperture depth extraction, then estimate the general area of foreground. At last, in order to get the foreground,...
In this paper, we propose a comparison of human gesture recognition using data mining classification methods in video streaming. In particular, we are interested in a specific stream of vector of twenty body-joint positions which are representative of the human body captured by Kinect camera. The recognized gesture patterns of the study are stand, sit down, and lie down. Classification methods chosen...
This work presents a robust method for realtime segmentation and tracking of moving objects using depth image sequences, which is insensitive to illumination changes. We propose a novel criterion in our quadtree split-and-merge framework and effectively solves the problem of segmenting objects in complex and cluttered scenes. We also introduce a plane estimation algorithm to cope with the indistinction...
The main purpose of this paper is to make table tennis robots complete the hit table tennis ball action by imitating human's behavior. The main strategy is to record a video of action which people played the table tennis, then analysis the video of the racket trajectory. The racket in the image is extracted by image processing when the each frame is captured in the video. Then three-dimensional coordinates...
In this paper, an active vision system used for real time facial features tracking is presented, where a human head region is searched using a stereo camera. This region is divided such that a person's nose will be searched in a smaller spatial domain. The 2D coordinates of the nose are determined based on a Haar classifier and colour segmentation. Its 3D coordinates, computed via the constraints...
This paper presents a non-intrusive vision based system for eye blinks detection and fatigue level monitoring. It uses a web camera positioned in front of the face. A cascade of boosted classifiers based on Haar-like features is used for fast detection of the eyes region. The frames differencing in combination with the thresholding are applied to detect the eyes closure and opening. The frame processing...
The most eye catching regions within an image or video can be captured by exploiting characteristics within the human visual system. In this paper we propose a novel method for modeling the visual saliency information in a video sequence. The proposed method incorporates wavelet decomposition and the modeling of the human visual system to capture spatiotemporal saliency information. A unique approach...
Aimed at contextual mapping of environments by exploration, this paper proposes a method that recognises human activity observed from a moving camera and references this information to a previously mapped environment. We first introduce a novel method that uses sparse features and dense optical flow, to perform dense background subtraction for an agile camera. With the ego-motion disambiguated, we...
This research presents a 3-D human arms tracking method with a monocular camera. In our previous work, multiple clues have been integrated by the multiple importance sampling particle filter to track the arms with arbitrary motion on the images. Due to the lack of depth information when using a monocular camera, an online sequential pose estimation based on the structure-from-motion is proposed here...
Virtual maps technology is one of many innovations of the past decade. Currently navigation with such maps is generally performed using keyboard and mouse inputs. For improved human social communication, there is a need for more effective and unobtrusive navigation methods. In this paper, we adopt a human-centric approach to reinvent the way in which users interact with virtual maps. The proposed...
Automatic recognition of human actions from video has been studied for many years. Although still very difficult in uncontrolled scenarios, it has been successful in more restricted settings (e.g., fixed viewpoint, no occlusions) with recognition rates approaching 100%. However, the best-performing methods are complex and computationally-demanding and thus not well-suited for real-time deployments...
A fully automated approach is presented for the feature selection for the application in diabetic retinopathy. Diabetic Retinopathy(DR) is a vascular disorder affecting the retina due to prolonged diabetes. It can lead to sudden vision loss due to DR.This work is aimed to develop an automated system to analyze the retinal images for extracting important features of diabetic retinopathy using the image...
The assessment of the general health status of people with cognitive impairment, and so the quality of drug therapy, requires reliable information about their daily lifestyle. Especially in the case of Alzheimer's Disease (AD) patients, the patients themselves or their primary caregivers may not be reliable in providing such information. This raises the demand for a new generation of intelligent,...
The explosion of mobile computing and the sharing of content ubiquitously has enabled users to create and share memories instantly. Access to different data sources, such as location, movement, and physiology, has helped to create a data rich society where new and enhanced memories will form part of everyday life. Peer-to-Peer (P2P) systems have also increased in popularity over the years, due to...
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