Prior research on language identification focused primarily on text and speech. In this paper, we focus on the visual modality and present a method for identifying sign languages solely from short video samples. The method is trained on unlabelled video data (unsupervised feature learning) and using these features, it is trained to discriminate between six sign languages (supervised learning). ...

We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, call dynamic visual model, consists of three major components: sensory, perceptual, and conceptual components. The proposed model is used as the underlying framework in which a system for detecting and recognizing road signs is developed.

We present a method for recognition of isolated Swedish Sign Language signs. The method will be used in a game intended to help children training signing at home, as a complement to training with a teacher. The target group is not primarily deaf children, but children with language disorders. Using sign language as a support in conversation has been shown to greatly stimulate the speech develop...

In this paper, we present a method for fast and robust object recognition. As an example, the method is applied to traffic sign recognition from a forward-looking camera in a car. To facilitate and optimise the implementation of this algorithm on an embedded platform containing parallel hardware, we developed a voting scheme for constellations of visual words, i.e. clustered local features (SUR...

The observation of other people's actions recruits a network of areas including the inferior frontal gyrus (IFG), the inferior parietal lobule (IPL), and posterior middle temporal gyrus (pMTG). These regions have been shown to be activated through both visual and auditory inputs. Intriguingly, previous studies found no engagement of IFG and IPL for deaf participants during non-linguistic action...

OBJECTIVE Verify if late cochlear implantation allows pre-lingual deafs to convert from visual to oral communication mode only. METHOD Thirteen pre-lingual profoundly deaf patients implanted the ages of 8 and 22 years were included in the study. Before cochlear implantation, none of the patients used the oral language. Six patients used cued speech and seven used the sign language to communic...

The eccentricity at which peripheral thresholds double their foveal value (E2) may relate to the visual system's anatomical organization. Using a variety of experimental approaches, previous estimates of E2 for vernier acuity have ranged from less than 0.1 deg to greater than 15.0 deg. This broad range of values seems to challenge the usefulness of E2 for determining visual topography. We expla...

This paper describes a method to detect and identify the Italian road sign for no-blocking of passageway. The approach detects the sign in the image by color processing and multi-layer perceptron neural network. The approach locates the region of interest within the image, using color segmentation, then the signal of restricted no stopping is identified using shape and color information, and fi...

One of the essential steps in pattern recognition is having a training set that contains diversity of exemplars. This step is a major obstacle in sign language recognition. The availability of large public corpus with diversity of examples is limited due to the large number of degrees of freedom inherent in sign language hand gestures and the major variances between different signers. This caus...

For road sign inventory and maintenance, we propose to use a mobile system based on a handheld device, GPS sensor, a camera, and a standard mobile GIS software. Camera images are then analysed via object recognition algorithms which results in an automated detection, i.e., localisation and classification of the signs. We present here the localisation of points and regions of interest, the fitti...