Titlebook: New Approaches for Multidimensional Signal Processing; Proceedings of Inter Roumen Kountchev,Rumen Mironov,Shengqing Li Conference proceedi

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Video-Based Monitoring and Analytics of Human Gait for Companion Robot,e propose a non-invasive video-based gait analysis system to detect abnormal gait, and record gait and postural parameters framework on a day-to-day basis. It takes videos captured from a single camera mounted on a robot as input. Open Pose, a deep learning-based 2D pose estimator is used to localiz

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Comparative Analysis of the Hierarchical 3D-SVD and Reduced Inverse Tensor Pyramid in Regard to Famich (unlike the famous similar approaches) do not require iterative calculations. Instead, they use repetitive simple calculations in each hierarchical decomposition level. As a result, the computational complexity (CC) of the new hierarchical algorithms is lower than that of the iteration-based. In

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Tracking of Domestic Animals in Thermal Videos by Tensor Decompositions,rithms, applied for tracking of domestic animals in video. Decomposition and full processing time, detection rate, precision, and F-measure are the evaluating parameters revealing the efficiency of each algorithm. Promising results suggest the applicability of the investigated decompositions but als

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Partial Contour Matching Based on Affine Curvature Scale Space Descriptors,t guarantee a complete contour extraction without being disturbed by the noise or the distortions. In this paper, we propose a new method to match partially occluded shape based on affine curvature scale space. Firstly, an affine curve re-parameterization is defined, inspired by the properties of af

Vasodilation