445 research outputs found
Interactive and Audience Adaptive Digital Signage Using Real-Time Computer Vision
No full textIn this paper we present the development of an interactive, content‐aware and cost‐effective digital signage system. Using a monocular camera installed within the frame of a digital signage display, we employ real‐time computer vision algorithms to extract temporal, spatial and demographic features of the observers, which are further used for observer‐specific broadcasting of digital signage content. The number of observers is obtained by the Viola and Jones face detection algorithm, whilst facial images are registered using multi‐view Active Appearance Models. The distance of the observers from the system is estimated from the interpupillary distance of registered faces. Demographic features, including gender and age group, are determined using SVM classifiers to achieve individual observer‐specific selection and adaption of the digital signage broadcasting content. The developed system was evaluated at the laboratory study level and in a field study performed for audience measurement research. Comparison of our monocular localization module with the Kinect stereo‐system reveals a comparable level of accuracy. The facial characterization module is evaluated on the FERET database with 95% accuracy for gender classification and 92% for age group. Finally, the field study demonstrates the applicability of the developed system in real‐life environments
Virtual technology and remote observation over the Internet for art applications
No full textIn this paper, we give an overview of some advanced computer applications developed in the Computer Vision Laboratory which we used in several art presentations and art installations on the Internet.
Already in 1995 we presented on the Internet the Slovenian Virtual Gallery which was a typical first generation web multimedia presentation consisting of an interconnected set of texts, images, and video clips. An alternative way of exploring this set was by ``walking'' through a virtual gallery space. This multimedia concept, in combination with our module for video observation over the Internet, was later used by the video artist Sre\v co Dragan for several of his art-Internet installations. By adding the possibility to get real-time video from any physical point, which can be connected to the Internet, one can effectively blend actual and virtual spaces
Image retrieval system based on machine learning and using color features
No full textWe describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images with one of five possible grades (YES, yes, neutral, no, NO) according to what he is looking for. The system returns the first 15 images with the highest probability of YES grade. The attributes used are a combination of color features. Three different machine learning techniques are compared
Human skin color clustering for face detection
No full textComputer vision is one out of many areas that wants to understand
the process of human functionality and copy that process with
intention to complement human life with intelligent machines. For better
human–computer interaction it is necessary for the machine to see people.
This can be achieved by employing face detection algorithms, like the one
used in the installation “15 Seconds of Fame”. Mentioned installation unites
the areas of modern art and technology. Its algorithm is based on skin
colour detection. One of the problems this and similar algorithms have to
deal with is sensitivity to the illumination conditions under which the input
image is captured. Hence illumination sensitivity influences face detection
results. One of the aspects from which we can observe illumination influence
is the choice of the proper colour space. Since some colour spaces
are designed to eliminate the influence of illumination (brightness) when
describing colour of an object, an idea of using such a colour space for
skin-colour detection has been taken under consideration and some of the
methods have been researched and tested
Part-level object recognition
No full textThis paper proposes a technique for object recognition using superquadric built models. Superquadrics, which are three dimensional models suitable for part-level representation of objects, are reconstructed from range images using the recover-and-select paradigm. Using an interpretation tree, the presence of an object in the scene from the model database can be hypothesized. These hypotheses are verified by projecting and re-fitting the object model to the range image which at the same time enables a better localization of the object in the scene
Where physically is the optical center?
No full textA simple and fast method of determining the position of the optical center without any specialized equipment is presented. The position of the optical center is a depth determining parameter in a panoramic depth imaging system [Peer, P., Solina, F., 2002. Panoramic depth imaging: single standard camera approach. Internat. J. Comput. Vision 47 (1/2/3), 149–160; Peer, P., Solina, F., 2005. Multiperspective panoramic depth imaging. In: Computer Vision and Robotics. Nova Science Publishers]. The reconstructed distances correspond well to the actual measured distances on the scene
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