Просматривается номер   2018-S1
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Data mining and image recognition
N.S. Skoryukina, A.N. Milovzorov, D.V. Polevoy, V.V. Arlazarov Paintings recognition in uncontrolled conditions using one-shot learning
A.E. Zhukovsky Methods for interframe integration of document detection results in a video stream of a mobile device
I.A. Kunina, E. I. Panfilova, M.A. Povolotskiy Zebra-crossing detection on road images using dynamic time warping
O.A. Slavin, V.L. Arlazarov Method for classifying recognized pages of administrative documents on the basis of text key points
O.O. Petrova, K.B. Bulatov Methods of machine-readable zone recognition results post-processing
A.E. Marchenko, E.I. Ershov, D.A. Shepelev, D.S. Sidorchuk, V.P. Bozhkova, D.P. Nikolaev Designing of language of description of observable properties of recognized objects in the absence of samples
Intellectual systems and technologies
E.E. Limonova, N.L. Rzhenev, A.V. Uskov, M.I. Neiman-zade Fast implementation of Hamming distance on VLIW-architectures on the example of Elbrus platform
V.V. Arlazarov, K.B. Bulatov, A.V. Uskov A model of object recognition system in video stream of a mobile device
A.A. Ivanova, S.A. Gladilin, A.E. Zhukovsky, E.L. Pliskin Database for the administrative accounting of scientific publications
A.S. Ingacheva, A.V. Sheshkus, T. S. Chernov, E.E. Limonova, V.V. Arlazarov X-ray computed tomography scanner – a new tool in recognition
N.O. Beshaposhnikov, A.G. Kushnirenko, A.A. Levin A method for auto-calibration of the educational robot control parameters using computer vision library OpenCV
Image and signal processing
A.E. Zhukovsky, E.E. Limonova, D.P. Nikolaev Exact implementation of common image processing algorithms using fully convolutional networks
V.E. Prun Reducing the influence of high-absorbing inclusions on CT reconstructions using algebraic reconstruction technique
B.I. Savelyev, I.B. Mamay, D.P. Nikolaev, V.L. Arlazarov, K.B. Bulatov, N.S. Skoryukina A method of projective transformations graph adjustment for panorama stitching problem for images of planar objects
D.V. Tropin, D.P. Nikolaev, D.G. Slugin The method of image alignment based on sharpness maximization
J.A. Shemiakina, A.E. Zhukovsky, I.A. Konovalenko, D.P. Nikolaev Algorithm for automatic framing of digital images under projective transformation
MACHINE LEARNING
A.V. Gayer, A.V. Sheshkus, Y.S. Chernyshova Augmentation on the fly for the neural networks learning
V.V. Arlazarov, D.P. Matalov, S.A. Usilin Localization of the seal on the identity document image using machine learning approach
A.E. Lynchenko, A.V.Sheshkus, V.L.Arlazarov Identity document classifiaction algorithm based on similarity metric robust to projective distortions
V.A. Malykh, V.A. Lyalin On Classification of Noisy Texts
Y.S. Chernyshova, M.A. Aliev, A.V. Sheshkus Optical font recognition of images captured with mobile devices and its application for detecting identity documents forgery
D.A. Ilin Fast words boundaries localization in text fields for low quality document images
D.E. Ivanov, D.V. Polevoy, D.L. Sholomov Selection of informative elements for the training of a lightweight convolutional neural network classifier in the conditions of a strong imbalance of the training sample
I.A. Kunina, E. I. Panfilova, M.A. Povolotskiy Zebra-crossing detection on road images using dynamic time warping

Abstract.

This work considers zebra crossing detection problem for autonomous ground vehicle self-localization. The proposed algorithm accepts undistorted bird’s-eye view image as an input. The input image is transformed in the way that road lanes are parallel to the image columns. In case of successful crossing detection, the algorithm outputs the upper and the lower crossing borders. Image rows are classified as belonging to pedestrian crossing based on the quasi-periodical alternation of contrast edges using the dynamic programming approach. The long edge orientation of row group is checked with the use of Fast Hough transform. The proposed method has been validated on the dataset of 4477 images collected from the real vehicle on two test routes. The presented experimental results demonstrate a decrease in the average localization error by 1.78 times.

Keywords:

localization, self-driving, zebra crossings, dynamic programming, fast Hough transform.

PP. 23-31.

DOI: 10.14357/20790279180503

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