For many years, vehicle tracking in traffic images has suffered from the problems of occlusions and sudden variations in illumination. In order to resolve these occlusion problems, we have been proposing the Spatio-Temporal Markov Random Field model(S-T MRF) for segmentation of spatio-temporal images. This S-T MRF optimizes the segmentation boundaries of occluded vehicles and their motion vecto...

In this paper, we introduce a new top-down framework for automatic localization and recognition of text-based traffic guide panels captured by car-mounted cameras from natural scene images. The proposed framework involves two contributions. First, a novel Cascaded Localization Network (CLN) joining two customized convolutional nets is proposed to detect the guide panels and the scene text on th...

The use of airbags into automobiles has significantly improved the safety of the occupants. Unfortunately, when airbags are deployed in the case of a crash, they can also cause fatal injuries if the occupant is a child smaller (in weight) than a typical 6 year old. In response to this, The National Highway Transportation and Safety Administration (NHTSA) has mandated that, starting in the 2006 ...

Peter Kovesi Eun-Jung Holden Jason C. Wong Centre for Exploration Targeting Centre for Exploration Targeting Centre for Exploration Targeting The University of Western Australia The University of Western Australia The University of Western Australia 35 Stirling Highway. Crawley WA. 6009 35 Stirling Highway. Crawley WA. 6009 35 Stirling Highway. Crawley WA. 6009 [email protected] eun-jung....

Safety levels at highway – rail level crossing locations continue to be a major concern at most of developing countries. Basically more than half of these accidents occur at public crossings, where active warning devices are in place and functioning properly. In most cases, accidents occurred when road users ignored the gates and passed through them or if they stopped on the tracks before the g...

this paper presents, a hybrid method, low-resolution and high-resolution, for persian page segmentation. in the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. by high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifying...

optical coherence tomography (oct) is a powerful imaging modality used to image various aspects of biological tissues, such as structural information, blood flow, elastic parameters, change of polarization states, and molecular content [1]. in contrast to oct technology development which has been a field of active research since 1991, oct image segmentation has only been more fully explored dur...

environmental pollution of soil, plants and deposits around highways endanger urban environment through heavy metals as the by-products of vehicles and urban industries along with other pollutants. in this research, three main highways of tehran city; namely shahid chamran, shahid hemmat and yadegar emam which had the highest rate of vehicle transportation were selected and required sampling wa...

There is plenty of theoretical and empirical evidence that depth of neural networks is a crucial ingredient for their success. However, network training becomes more difficult with increasing depth and training of very deep networks remains an open problem. In this extended abstract, we introduce a new architecture designed to ease gradient-based training of very deep networks. We refer to netw...