A GPS-based system design for the recognition and tracking of moving targets

Yağımlı, Mustafa; Varol, H. Selçuk

doi:10.1109/rast.2009.5158262

Cited by 3 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Target recognition processes use various methods and algorithms; the sine wave transfer method is used for real-time target recognition, and this signal is used as the process signal in digital signal processing and in analog/digital conversion [12]. Neural network model based and fuzzy logic based algorithms are also being used.…”

Section: Target Recognition Sub-systemmentioning

confidence: 99%

Monocular Vision Based Boundary Avoidance for Non-Invasive Stray Control System for Cattle: A Conceptual Approach

Oluwaranti¹,

Ayeni²

2015

JST

View full text Add to dashboard Cite

Building fences to manage the cattle grazing can be very expensive; cost inefficient. These do not provide dynamic control over the area in which the cattle are grazing. Existing virtual fencing techniques for the control of herds of cattle, based on polygon coordinate definition of boundaries is limited in the area of land mass coverage and dynamism. This work seeks to develop a more robust and an improved monocular vision based boundary avoidance for non-invasive stray control system for cattle, with a view to increase land mass coverage in virtual fencing techniques and dynamism. The monocular vision based depth estimation will be modeled using concept of global Fourier Transform (FT) and local Wavelet Transform (WT) of image structure of scenes (boundaries). The magnitude of the global Fourier Transform gives the dominant orientations and textual patterns of the image; while the local Wavelet Transform gives the dominant spectral features of the image and their spatial distribution. Each scene picture or image is defined by features v, which contain the set of global (FT) and local (WT) statistics of the image. Scenes or boundaries distances are given by estimating the depth D by means of the image features v. Sound cues of intensity equivalent to the magnitude of the depth D are applied to the animal ears as stimuli. This brings about the desired control as animals tend to move away from uncomfortable sounds.

show abstract

Section: Target Recognition Sub-systemmentioning

confidence: 99%

Monocular Vision Based Boundary Avoidance for Non-Invasive Stray Control System for Cattle: A Conceptual Approach

Oluwaranti¹,

Ayeni²

2015

JST

View full text Add to dashboard Cite

show abstract

“…The research of target detection and tracking is quite mature in land applications (Kakinuma et al, 2012; Lekkala & Mittal, 2016; Ren et al, 2017; Yagimli & Varol, 2009; Zou & Tseng, 2012); however, it is still a challenging topic in underwater environments. The poor propagation of electromagnetic waves under water restricts high‐bandwidth communication, which makes most of the communication and localization technology developed for on‐land applications impractical in sea.…”

Section: Introductionmentioning

confidence: 99%

Diver tracking in open waters: A low‐cost approach based on visual and acoustic sensor fusion

Remmas

Chemori

Kruusmaa

2020

Journal of Field Robotics

View full text Add to dashboard Cite

The design of a robust perception method is a substantial component towards achieving underwater human-robot collaboration. However, in complex environments such as the oceans, perception is still a challenging issue. Data-fusion of different sensing modalities can improve perception in dynamic and unstructured ocean environments. This work addresses the control of a highly-maneuverable autonomous underwater vehicle for diver tracking based on visual and acoustic signals data fusion measured by low-cost sensors. The underwater vehicle U-CAT tracks a diver using a 3-DOF fuzzy logic Mamdani controller. The proposed tracking approach was validated through open water real-time experiments. Combining acoustic and visual signals for underwater target tracking provides several advantages compared to previously done related research. The obtained results suggest that the proposed * Corresponding author solution ensures effective detection and tracking in poor visibility operating conditions.

show abstract

Hareketli̇ Nesneleri̇n Uyarlanabi̇li̇r Bulanik Zaman Seri̇leri̇ Ve Üssel Düzeltme Tahmi̇n Tekni̇kleri̇ni̇ Kullanarak Gerçek Zamanli Yörüngeleri̇ni̇n İzlenmesi̇

Yağimli¹

2017

Uludağ University Journal of the Faculty of Engineering

View full text Add to dashboard Cite

In his study; in cases where the targeted object which is taken from a real time camera shot is in a circular motion, quasi projectile motion and maneuvering dynamic motion, its later location where it will be is examined using the Adaptive Fuzzy Time Series (AFTS) and Exponential Smoothing (ES) estimation methods. Error evaluation of these motions was performed according to the Mean Absolute Percentage Error (MAPE) method. In the conducted evaluation, with AFTS, the circular motion was found to be 3.65%, quasi projectile motion 9.12%, and maneuvering dynamic motion 19.23%, and with ES, circular motion 4.48%, quasi projectile motion 1.13% and maneuvering dynamic motion was found to be 0.61%. AFTS gives better results than ES for the circular motion but ES gives better results than AFTS for quasi projectile and maneuvering dynamic motions.

show abstract

A GPS-based system design for the recognition and tracking of moving targets

Abstract: This study aimed to develop a software to enable recognition of moving objects and detection of their orbits by processing the images obtained through a camera. The secondary objective was to design a GPS-based mobile robot which tracks moving objects.

Cited by 3 publications

References 12 publications

Monocular Vision Based Boundary Avoidance for Non-Invasive Stray Control System for Cattle: A Conceptual Approach

Monocular Vision Based Boundary Avoidance for Non-Invasive Stray Control System for Cattle: A Conceptual Approach

Diver tracking in open waters: A low‐cost approach based on visual and acoustic sensor fusion

Hareketli̇ Nesneleri̇n Uyarlanabi̇li̇r Bulanik Zaman Seri̇leri̇ Ve Üssel Düzeltme Tahmi̇n Tekni̇kleri̇ni̇ Kullanarak Gerçek Zamanli Yörüngeleri̇ni̇n İzlenmesi̇

Contact Info

Product

Resources

About