Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Powiadomienia systemowe

Sesja wygasła!
Sesja wygasła!
Sesja wygasła!

Znaleziono wyników: 3

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: tracking objects

Sortuj według:

Ogranicz wyniki do:

Moving object detection in car traffic with implementation of optical sensors

Szablata Piotr, Łąkowski Paweł, Pochmara Janusz

Transport Problems

2020

T. 15, z. 4, cz. 1

105--116

In this investigation, the problem of moving object detection - without any knowledge - is classified. It describes a technique that will allow real-time localization with usage of IR sensors. The proposed algorithm is simplistic, and in the future, it might be implemented into any vehicle, premium or entry level. It is guided by AI that must calculate its next moves in the blink of an eye without user noticing any delays. The main problem of moving object recognition was extraction of proper features, description of the events, and choice of only the crucial ones. The presented novel approach does not follow any standard algorithms. It is a practical hardware implementation of custom solution, based on processing system, which can be well situated in the safety modules of future cars.

Inland waterway vessels tracking using closed circuit television

Kujawski A.

Zeszyty Naukowe Akademii Morskiej w Szczecinie

2015

nr 44 (116)

135--140

The aim of this paper is to use closed-circuit television (CCTV) to search and track moving objects in inland waterways. The area of the analysis is the part of the West Odra river between the Długi and Kolejowy bridges in Szczecin. The points of interest are chosen intentionally due to the risk of vessel collision with bridges. The results of the research into the implemented methods of tracking objects could be utilized in the future to extend inland navigation services, which could be used by the captains of the ships and River Information Services operational personnel as well.

Implementation of chosen methods for detecting and tracking objects on the videos in inland navigation

Kujawski A.

Logistyka

2014

nr 6

The aim of the article is to review and implement methods of tracking objects in sequences of video image. The outcome of the test is to indicate the method that fulfils assumptions concerning the amount of correctly recognisable image pixels and the work speed of chosen algorithm. The following methods of tracking objects were tested: optical flow, CAMshift method (Continuously Adaptive Mean Shift), Mixture of Gaussians and SURF method (Speeded-Up Robust Features).