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We propose a method for human head pose estimation based on images acquired by a depth camera. During an initialization phase, a reference depth image of a human subject is obtained. At run time, the method searches the 6-dimensional pose space to find a pose from which the head appears identical to the reference view. This search is formulated as an optimization problem whose objective function quantifies...
This paper proposes a novel system to assist human image analysts to effectively browse and search for objects in a camera network. In contrast to the existing approaches that focus on finding global trajectories across cameras, the proposed approach directly models the relationship among raw camera observations. A graph model is proposed to represent detected/tracked objects, their appearance and...
Performance evaluation and comparison of vision-based automotive modules is a growing need in automotive industry. Off-vehicle evaluation, using a database of video streams offers many advantages over on-vehicle evaluation in terms of reduced costs, repeatability and the ability to compare different modules under the same conditions. An off-vehicle evaluation platform for camera based pedestrian detection...
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...
This paper demonstrates how 3D skeletal reconstruction can be performed by using a pose-sensitive embedding technique applied to multi-view video recordings. We apply our approach to challenging low-resolution video sequences. Usually skeletal reconstruction can be only achieved with many calibrated high-resolution cameras, and only blob detection can be achieved with such low-resolution imagery....
In this paper, we present an embedded real-time parking lot monitoring video surveillance system, automatically dimming and brightening the illumination depending on whether people or vehicles are detected in the monitored area. The system helps saving money by significantly reducing energy consumption, while maintaining appropriate levels of illumination for basic safety.
Dentistry usually requires accurate 3-D representation of the teeth and jaw for diagnostic and treatment purposes. Photogrammetry can offer a flexible, cost-effective solution in that regard. In this paper, we develop an approach for realistic 3D reconstruction of the human teeth using shape from shading with statistical shape priors. Our work has addressed several challenges including near illumination,...
Numerous camera positioning mechanisms exist, but their actuation has little in common with the human eye whose motion they are meant to replicate. Piezoelectric cellular actuators, a novel biologically inspired technology, have much more in common with the recti muscles that position the human eye than traditional actuators have. This work explains how to select multi-layer nested compliant strain...
Visually tracking a large number of objects remains a trade-off between accuracy and amount of data. For applications where high accuracy in both position and orientation of points in space is required, optical tracking systems with passive marker systems are suitable. However, the placement of the marker dots remains problematic, as distin-guishability between the marker alignments considerably reduces...
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...
The exponential increase of home-bound persons thatlive alone and are in need of continuous monitoring requires newsolutions to current problems. Most of these cases presentillnesses, such as motor or psychological disabilities, that deprivethem of a normal living. Abnormal situations such asforgetfulness or falls are quite common and should be preventedor dealt with. This paper presents a system...
We propose a method for information extraction and presentation using recorded eye gaze data, i.e., life-log video data. We call our method Gaze Cloud, which essentially uses gaze information for the generation of thumbnail images. One of the usages of wearable computing, personal life-logs are becoming increasingly possible. However, an aspect that needs to be addressed is information retrieval through...
We present a video summarization approach for egocentric or “wearable” camera data. Given hours of video, the proposed method produces a compact storyboard summary of the camera wearer's day. In contrast to traditional keyframe selection techniques, the resulting summary focuses on the most important objects and people with which the camera wearer interacts. To accomplish this, we develop region cues...
Humans are still responsible for operating complex equipment because they are able to respond during emergency situations. By removing the pilot from an aircraft, Unmanned Air Vehicles (UAVs) are vulnerable to unpredictable activity within their environment. The landing process is the most stressful phase of flight for pilots and as a consequence, a significant number of UAV are being destroyed or...
The launch of Xbox Kinect has built a very successful computer vision product and made a big impact to the gaming industry; this sheds lights onto a wide variety of potential applications related to action recognition. The accurate estimation of human poses from the depth image is universally a critical step. However, existing pose estimation systems exhibit failures when faced severe occlusion. In...
Man-made structures often appear to be distorted in photos captured by casual photographers, as the scene layout often conflicts with how it is expected by human perception. In this paper we propose an automatic approach for straightening up slanted man-made structures in an input image to improve its perceptual quality. We call this type of correction upright adjustment. We propose a set of criteria...
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...
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