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This paper introduces the design of a real time vision-based motion synthesis system. the system requires user to wear the markers in a certain color. Based on that, several novel algorithms were used for feature detection and feature tracking under occlusion by estimating the velocity of missing features based on the prior, smoothness and fitness term. These algorithms ensured the accuracy and low...
There is good reason to believe that humans use some kind of recursive grammatical structure when we recognize and perform complex manipulation activities. We have built a system to automatically build a tree structure from observations of an actor performing such activities. The activity trees that result form a framework for search and understanding, tying action to language. We explore and evaluate...
This paper presents a new feature descriptor for real-time people detection in depth images. The shape cue in depth images can reduce negative impacts of variations of clothing, lighting conditions and the complexity of backgrounds. The proposed Simplified Local Ternary Patterns (SLTP) can take advantage of depth images to describe human body shape with low computational cost. To evaluate the SLTP...
In recent years, a large amount of research efforts have been spent in the tracking human targets using one or more visual sensors (cameras) in both indoor and outdoor security and surveillance environments such as airports, metro stations, etc. However, in majority, the problem of associating a reliable identification signature to a detected target when in motion, has often been complicated due to...
Kinect, as a 3D digital capturing device, can collect the RGB and depth information of human activities rapidly. We study fusing the depth and RGB information for activity recognition. We introduce histogram color-based image thresholding to detect skin on human body, and use a GMM model to segment human hand areas. We design a new local descriptor, called a 3D Motion Scale-Invariant Feature Transform...
In intelligent buildings, practical sensing systems designed to gather indoor occupancy information play an indispensable role in improving occupant comfort and energy efficiency by optimizing control strategies of HVAC (Heating, Ventilation and Air Conditioning) system and lighting system. In this paper we propose a novel method for occupant detection based on video surveillances now widely used...
In this paper we propose an approach to recognize human actions using depth images. Here, we capture the motion dynamics of the object from the depth difference image and average depth image. The features from the space-time depth difference images are obtained from hierarchical division of the silhouette bounding box. We also make use of motion history images to represent the temporal information...
Falls are a major threat to the independence and quality of life of elderly people. As the worldwide population of elderly increases each year, responding to falls is essential. Computer vision systems provide a new promising solution in responding falls through detecting fall events. This paper presents a new technique in detecting falls based on human shape variation. The proposed visual based fall...
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this problem but also present some unique challenges. The depth maps captured by the depth cameras are very noisy and the 3D positions of the tracked joints may be completely wrong if serious occlusions occur, which increases the intra-class variations...
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...
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...
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...
It is necessary for a blind person to know the locations of the pedestrians or moving objects around him/her on a walk road for his/her safe walking. This paper proposes a system for detecting pedestrians or moving objects in front of a person on a walk road by a camera mounted on his/her body. The system judges if a moving object in front of the person is going to hit him/her in the near future by...
We present a new human navigation system on smartphones for indoor environments. The conventional systems have required specific positioning infrastructures installed in buildings. In contrast, the proposed system is not to need such requirements because it can determine the position of a user by image matching to process the images from a smartphone camera indoors like a certain corridor. Although...
This paper proposes a method for estimating the human performance of pedestrian detectability from in-vehicle camera images in order to warn a driver of the positions of pedestrians in an appropriate timing. By introducing features related to visual search and motion of the target, the proposed method estimates the detectability of pedestrians accurately. Support Vector Regression (SVR) is used to...
We propose a novel human-in-the-loop surveillance system that continuously learns the properties of objects that are interesting for a human operator. The interesting objects are automatically learned by tracking the eye gaze positions of the operator while he or she monitors the surveillance video. The system automatically detects interesting objects in the surveillance video and forms a new synthetic...
Biometrics-based authentication is a method of personal identification that has some advantages over the password and object-based ones, mainly for the user, who doesn't need to carry or memorize anything. However, this kind of identification is also subject to problems. Besides the technology-related possibilities of fraud, such as system invasion, database corruption or algorithm injection, some...
This paper presents preliminary findings using thermal infrared imaging for the detection of the human face vasculature network at the skin surface and the generation of thermal facial signatures. A thermal infrared camera with reasonable sensitivity provides the ability to image superficial blood vessels on the human skin. The experiment presented here consists of the image processing techniques...
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