Volume 33 #1

Contents

1. Analysis of sexual partner preferences in Eurydema ornata and E. oleracea in free choice context
2. Optimal affine approximation of image projective transformation
3. Recognition of projectively transformed planar figures XII. On new methods for projectively-invariant description of ovals in composition with a linear element of a plane
4. Edge detection based mobile robot indoor localization
5. Robust criterion for vanishing point estimation of linear trajectories of detected vehicles in a video stream
6. Matching SAR and optical images by independed referencing to a vector map
7. Increase of computational efficiency of projective image transformation on SIMD-architectures
8. Comparison of the classifying and similarity metric-based neural networks through the recognition of the filed “gender” in Russian Federation passport
9. Heartbeat-evoked responses on EEG in slow wave sleep in cats
10. Polysomnographic study of central sleep apnea in cats

Moving objects trajectories analysis is one of the approaches for a surveillance system camera self-calibration. This paper presents the study of vanishing point detection of vehicles trajectories on an assumption of linear and parallel movement. The algorithm for trajectories vanishing point detection proposed by Tuan Hue Thi et al. is robust to trajectories-outliers, but not robust to outliers in a track. The paper presents a discussion on potential causes of outliers occurrence in a track and presents algorithm that is robust to such noise. Accuracy dependency of proposed and reference algorithms on outliers rate is estimated on the dataset of simulated trajectories. Examples of vanishing point estimation on data obtained from license plates recognition and tracking system are presented.

Key words: vanishing poin, criterion for vanishing point estimation, vanishing point estimation algorithm, moving objects trajectories, RANSAC

DOI: 10.1134/S0235009219010037

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