32,435 research outputs found
New Method for Optimization of License Plate Recognition system with Use of Edge Detection and Connected Component
License Plate recognition plays an important role on the traffic monitoring
and parking management systems. In this paper, a fast and real time method has
been proposed which has an appropriate application to find tilt and poor
quality plates. In the proposed method, at the beginning, the image is
converted into binary mode using adaptive threshold. Then, by using some edge
detection and morphology operations, plate number location has been specified.
Finally, if the plat has tilt, its tilt is removed away. This method has been
tested on another paper data set that has different images of the background,
considering distance, and angel of view so that the correct extraction rate of
plate reached at 98.66%.Comment: 3rd IEEE International Conference on Computer and Knowledge
Engineering (ICCKE 2013), October 31 & November 1, 2013, Ferdowsi Universit
Mashha
Towards responsive Sensitive Artificial Listeners
This paper describes work in the recently started project SEMAINE, which aims to build a set of Sensitive Artificial Listeners – conversational agents designed to sustain an interaction with a human user despite limited verbal skills, through robust recognition and generation of non-verbal behaviour in real-time, both when the agent is speaking and listening. We report on data collection and on the design of a system architecture in view of real-time responsiveness
Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data
Despite significant recent advances in the field of head pose estimation and
facial expression recognition, raising the cognitive level when analysing human
activity presents serious challenges to current concepts. Motivated by the need
of generating comprehensible visual representations from different sets of
data, we introduce a system capable of monitoring human activity through head
pose and facial expression changes, utilising an affordable 3D sensing
technology (Microsoft Kinect sensor). An approach build on discriminative
random regression forests was selected in order to rapidly and accurately
estimate head pose changes in unconstrained environment. In order to complete
the secondary process of recognising four universal dominant facial expressions
(happiness, anger, sadness and surprise), emotion recognition via facial
expressions (ERFE) was adopted. After that, a lightweight data exchange format
(JavaScript Object Notation-JSON) is employed, in order to manipulate the data
extracted from the two aforementioned settings. Such mechanism can yield a
platform for objective and effortless assessment of human activity within the
context of serious gaming and human-computer interaction.Comment: 8th Computer Science and Electronic Engineering, (CEEC 2016),
University of Essex, UK, 6 page
Age Sensitivity of Face Recognition Algorithms
This paper investigates the performance degradation of facial recognition systems due to the influence of age. A comparative analysis of verification performance is conducted for four subspace projection techniques combined with four different distance metrics. The experimental results based on a subset of the MORPH-II database show that the choice of subspace projection technique and associated distance metric can have a significant impact on the performance of the face recognition system for particular age groups
Subspace-Based Holistic Registration for Low-Resolution Facial Images
Subspace-based holistic registration is introduced as an alternative to landmark-based face registration, which has a poor performance on low-resolution images, as obtained in camera surveillance applications. The proposed registration method finds the alignment by maximizing the similarity score between a probe and a gallery image. We use a novel probabilistic framework for both user-independent as well as user-specific face registration. The similarity is calculated using the probability that the face image is correctly aligned in a face subspace, but additionally we take the probability into account that the face is misaligned based on the residual error in the dimensions perpendicular to the face subspace. We perform extensive experiments on the FRGCv2 database to evaluate the impact that the face registration methods have on face recognition. Subspace-based holistic registration on low-resolution images can improve face recognition in comparison with landmark-based registration on high-resolution images. The performance of the tested face recognition methods after subspace-based holistic registration on a low-resolution version of the FRGC database is similar to that after manual registration
Sonification of probabilistic feedback through granular synthesis
We describe a method to improve user feedback, specifically the display of time-varying probabilistic information, through asynchronous granular synthesis. We have applied these techniques to challenging control problems as well as to the sonification of online probabilistic gesture recognition. We're using these displays in mobile, gestural interfaces where visual display is often impractical
CHORUS Deliverable 4.3: Report from CHORUS workshops on national initiatives and metadata
Minutes of the following Workshops:
• National Initiatives on Multimedia Content Description and Retrieval, Geneva, October 10th, 2007.
• Metadata in Audio-Visual/Multimedia production and archiving, Munich, IRT, 21st – 22nd November 2007
Workshop in Geneva 10/10/2007
This highly successful workshop was organised in cooperation with the European Commission. The event brought together
the technical, administrative and financial representatives of the various national initiatives, which have been established
recently in some European countries to support research and technical development in the area of audio-visual content
processing, indexing and searching for the next generation Internet using semantic technologies, and which may lead to an
internet-based knowledge infrastructure. The objective of this workshop was to provide a platform for mutual information
and exchange between these initiatives, the European Commission and the participants. Top speakers were present from
each of the national initiatives. There was time for discussions with the audience and amongst the European National
Initiatives. The challenges, communalities, difficulties, targeted/expected impact, success criteria, etc. were tackled. This
workshop addressed how these national initiatives could work together and benefit from each other.
Workshop in Munich 11/21-22/2007
Numerous EU and national research projects are working on the automatic or semi-automatic generation of descriptive and
functional metadata derived from analysing audio-visual content. The owners of AV archives and production facilities are
eagerly awaiting such methods which would help them to better exploit their assets.Hand in hand with the digitization of
analogue archives and the archiving of digital AV material, metadatashould be generated on an as high semantic level as
possible, preferably fully automatically. All users of metadata rely on a certain metadata model. All AV/multimedia search
engines, developed or under current development, would have to respect some compatibility or compliance with the
metadata models in use. The purpose of this workshop is to draw attention to the specific problem of metadata models in the
context of (semi)-automatic multimedia search
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