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Publication detail

Object Detection and Tracking on the Level Crossing
Authors: Šilar Zdeněk | Dobrovolný Martin
Year: 2015
Type of publication: článek ve sborníku
Name of source: Computational Collective Intelligence. Proceedings. Part II.
Publisher name: Springer International Publishing AG
Place: Cham
Page from-to: 245-255
Titles:
Language Name Abstract Keywords
cze Detekce a sledování objektů v prostoru železničního přejezdu V článku je popsán algoritmus detekce a sledování objektů v prostoru železničního přejezdu. Algoritmus je založen na Template Matchingu a sumě absolutních diferencí. Monitoring železničního přejezdu, výpočet vektorů optického toku, k-means
eng Object Detection and Tracking on the Level Crossing In this article is presented algorithm for obstacle detection and objects tracking in a railway crossing area. The object tracking is based on template matching and sum of absolute differences. The object tracking was implemented for better reliability of presented system. For optical flow estimation is used a modified Lucas-Kanade method. The results of proposed algorithm were verified in a real traffic scenarios consisted of two railway crossings in Czech Republic during 2013-14 under different environmental conditions. level crossing monitoring objects detection optical flow velocity vectors template matching objects tracking K-means clustering