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This article deals with the obstacle detection on a railway crossing (clearance detection). Detection is based on the optical flow estimation and classification of the flow vectors by K means clustering algorithm. For classification of passing vehicles is used optical flow direction determination. The optical flow estimation is based on a modified Lucas-Kanade method.
This article deals with the obstacle detection on a railway crossing (clearance detection). The presented detection is based on the optical flow estimation and classification of the flow vectors by K-means clustering algorithm. The optical flow is based on a modified Lucas-Kanade method. For testing of the developed methods a model was created and the results were verified on a real data.
This article presents the eye tracking system for positioning of the high definition camera which can be used as a part of the gaze tracking system to obtain high definition images of the human eye area. At first the object detecting methods used for eye detection are presented. Then the Haar feature-based Cascade classifier object detector used in the eye detection system working on embedded platform...
Systems for automatic mapping and exploration of unknown spaces are now widely used in many fields of robotics navigation. The most common applications are exploration of unknown spaces, dangerous environments or places worse accessible for humans. A combination of different sensors is suitable for creation of a vector map of unknown space. This article deals about the fusion of the ultrasonic sensors...
This article deals with the object detecting methods used for the eye detection. At first is described the Haar feature-based cascade classifier object detector. Further is described the developed eye detection system working on the embedded platform and the implementation of this object detector in the OpenCV library. Finally is described proposed realized implementation in the ARM based development...
The article describes a process at selection one of methods for optical flow estimation implemented in the Matlab tool. For this purpose the special program has been developed which by means of system objects enables testing methods for calculation of the optical flow Horn-Schunck and Lucas-Kanade, and choosing the best one.
This paper describes an algorithm of asymmetric (in terms of time) compression of the static image data based on singular decomposition of the image matrix. The method was developed as an additional method to more complex procedures in order to ease their implementability to the embedded personal portable units with low computing performance. The advantage of the described method is the transparency...
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