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The Kinect v2 sensor, developed by Microsoft, enables lowcost 3-D motion analysis without the need of markers or other attachments on the human body. Via free Software Development Kit the spatial location of 25 body joints can be extracted at a frame rate of 30 fps. This study evaluates the accuracy of skeleton joint angles obtained by the Kinect in comparison to the golden standard, the marker based...
In a smart home system, a camera-based fall detector at elderly homes leads to immediate alarming and helping. In this paper we propose an approach for the detection of falls based on multiple cameras. Based on semantic driven features, fall detection is done in 3D and fuzzy logic is used to estimate confidence values for different human postures as well as for the incidence of a fall/no fall. Emphasis...
The reconstruction of marble plates of Ephesos is discussed in this paper. Automated reconstruction techniques exist for 2 dimensional objects as well as for 3 dimensional objects. Current applications that consider the shape of the fragments only, are able to reconstruct complete objects consisting of no more than e.g. 10 parts. Therefore, additional features are necessary to reconstruct objects...
This paper presents a novel approach for unexpected behavior recognition in image sequences with attention to high density crowd scenes. Due to occlusions, object-tracking in such scenes is challenging and in cases of low resolution or poor image quality it is not robust enough to efficiently detect abnormal behavior. The wide variety of possible actions performed by humans and the problem of occlusions...
In recent years, surveillance and monitoring have become topics of increased interest for not only research active in computer vision, but also for many scholars in the field of social sciences and the humanities. Joint research becomes important when effective surveillance systems are deployed in public spaces. This paper focuses on designing and developing a socio-technical surveillance application...
By analyzing the low level features of images only, skin detection in visual data cannot be solved. To compensate for this major drawback of many approaches, we combine a state of the art recognition algorithm with color model based skin detection. Detected faces in videos are the basis for adaptive skin-color models, which are propagated throughout the video, providing a more precise and accurate...
This study provides a satellite-based estimate of potential primary production in the Brazilian Southeast coast from in situ and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) ocean color data. A non-spectral and vertically homogeneous semi-analytical algorithm and a spectral vertically non-homogeneous numerical algorithm were applied to the satellite ocean color data, which incorporate simultaneously...
In this paper we present the recently granted tripleB-ID project that aims to detect suspicious actions and criminal offences in bank foyers. Based on the situation in Austria and on the actual needs of our partner bank, we deduce scenarios of interest and analyse the technical challenges. As a preliminary work, we furthermore present a fully automated method for the mapping between a static and a...
This paper presents some results using a series of satellite and airborne sensors to monitor the environmental conditions of an oceanic area in the SW South Atlantic off Brazil. The following sensors were used: RADARSAT-1, VNIR- TIR/ASTER Terra, WFI-CCD/CBERS, OrbiSAR-1 and R99 SAR/SIPAM. The analysis presented refers to the data collected during the occurrence of a large meso-scale Brazil Current...
This paper presents a visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules - scene tracking and scene understanding. The scene tracking module, comprising a bottom-up methodology, and the scene understanding module, comprising a video event representation and recognition scheme, have been demonstrated to be a valid approach for apron...
A major obstacle to the broader use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently extensive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric information describing an object, and merging geometric,...
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