In Beijing, the earth surface changes has reached 5% each year, and artificial detection with high resolution images has been applied to peccancy building monitoring and road change detection. The main problem of artificial detection is its low efficiency and existing omitted changes. Therefore, a practicable automatic or semiautomatic change detection method with high resolution images is need...

This paper describes an automatic road sign recognition system by using matching pursuit (MP) filters. The system consists of two phases. In the detection phase, it finds the relative position of road sign in the original distant image by using a priori knowledge, shape and color information and captures a closer view image. Then it extracts the road sign image from the closer view image by usi...

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...

A model-based misfire detection algorithm is proposed. The algorithm is able to detect misfires and identify the failing cylinder during different conditions, such as cylinder-to-cylinder variations, cold starts, and different engine behavior in different operating points. Also, a method is proposed for automatic tuning of the algorithm based on training data. The misfire detection algorithm is...

Maintaining the quality of roadways is a major challenge for governments around the world. In particular, poor road surfaces pose a significant safety threat to motorists, especially when motorbikes make up a significant portion of roadway traffic. According to the statistics of the Ministry of Justice in Taiwan, there were 220 claims for state compensation caused by road quality problems betwe...

In this paper we present steps towards the automatic detection of vulnerable road users in video. Such a system can e.g. be used as an automatic blind spot camera for trucks. The aim of the system is to automatically warn the driver when the algorithm detects vulnerable road users in the camera images. Such an application implies severe time and performance constraints on the vision system, whi...

Spatial data play a major role in many areas. They are an important source of information for a wide range of applications. The quality and quantity of data have increased in the last decades, resulting in a huge amount of data in the field of geoinformation. As a result of the multitude of information, various techniques for the automatic interpretation of large quantities of data have been in...

An automatic procedure is developed for detection of changes between an existing road database and a newly registered satellite image, rectified to an orthophoto. The approach uses the existing database to force the detection and delineation of the corresponding road network in the image. Each road segment is handled separately during the comparison between the image and the database as the pos...

Importance for acquiring geographic map data and updating existing data is increasing. The automation of road extraction from aerial imagery has received attention. In the past, many approaches have been considered, however the existing automatic road extraction methods still need too much post editing. In this paper, we propose the method of automatic road extraction from high-resolution color...

Aerial and satellite images are information rich. They are also complex to analyze. For GIS systems, many features require fast and reliable extraction of roads and intersections. In this paper, we study efficient and reliable automatic extraction algorithms to address some difficult issues that are commonly seen in high resolution aerial and satellite images, nonetheless not well addressed in ...