F. J. Madrid-Cuevas

TL;DR: The proposed confidence map is employed to fuse the information captured by each camera so that the most reliable information is kept in each cell, and a particle filter algorithm for tracking people in the fused plan-view maps is proposed.

TL;DR: This paper presents a novel method for assessing the accuracy of unsupervised polygonal approximation algorithms by comparing the reference approximation with the approximation to be evaluated, taking into account the similarity between the polygonAl approximation and the original contour, and penalizingpolygonal approximations with an excessive number of points.

TL;DR: The experimentation shows that the proposed method to automatically reconstruct and self-calibrate multi-view structured light systems with an arbitrary number of devices is precise and robust, surpassing other current state of the art approaches.

TL;DR: It is demonstrated that applying this sequence to an image and comparing it with a reference image does not constitute a valid process for the evaluation of global thresholding techniques in edge detection, and a new criterion is proposed that brings together different aspects, permitting a more valid evaluation of the performance of thresholds both alone or in conjunction with a determined detector.

TL;DR: This paper shows how to formulate the hysteresis process as a unimodal thresholding problem without determining the optimal hysteResis thresholds, and compares the performance of the method against that of a method that determines the best parameters of an edge detector and shows that the method performs relatively well.