Estimation of mobile robot by using a single CCD camera

Özdemir, Kağan


Estimation of partially occluded human joints using a bayesian approach and an application of human image inpainting
Dursun, Ahmet Anıl; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2021-2-01)
Human pose estimation is a well-known computer vision task that has applications in the fields of surveillance, computerized outfit planners, and video special effects. State-of-the-art pose estimators are based on CNN structures and use visual features obtained from single images. However, occlusions are prevalent problems in the natural scenarios for this task, and the performances of CNN-based estimators degrade significantly under occlusion conditions. In this thesis, a novel Bayesian approach, BAKE: Ba...
Estimation of Articulatory Trajectories Based on Gaussian Mixture Model (GMM) With Audio-Visual Information Fusion and Dynamic Kalman Smoothing
ÖZBEK, İbrahim Yücel; Hasegawa-Johnson, Mark; Demirekler, Mübeccel (Institute of Electrical and Electronics Engineers (IEEE), 2011-07-01)
This paper presents a detailed framework for Gaussian mixture model (GMM)-based articulatory inversion equipped with special postprocessing smoothers, and with the capability to perform audio-visual information fusion. The effects of different acoustic features on the GMM inversion performance are investigated and it is shown that the integration of various types of acoustic (and visual) features improves the performance of the articulatory inversion process. Dynamic Kalman smoothers are proposed to adapt t...
Estimation of RQD by digital image analysis using a shadow-based method
Saricam, T.; Öztürk, Hasan (Elsevier BV, 2018-12-01)
We propose a method for segmentation of cores and estimation of RQD from digital images of rows of core in core boxes in order to compute RQD in an automatic way by finding and locating natural fractures in cores and measuring intact core lengths. First, three digital true color images of a core box, with the same camera position but different light source positions, are taken using a high resolution camera. After detection of the core box with color thresholding, the sections of the box are detected by usi...
Estimation of partially occluded 2D human joints with a Bayesian approach
Dursun, Ahmet Anıl; Tuncer, Temel Engin (2021-07-01)
Human pose estimation is an important problem which has found applications in different fields. One problem in this context is to estimate the human joints or keypoints under occlusion. Most of the methods in the literature use CNN structures to estimate keypoint positions. In this paper, a Bayesian Approach for occluded Keypoint Estimation, BAKE, is presented to complete the missing human pose elements. A state-of-the-art CNN-based pose estimation algorithm Openpose [1] is used for detecting the visible jo...
Estimation of Streamflow Using Takagi-Sugeno Fuzzy Rule-Based Model
Akgün, Ömer Burak; Kentel Erdoğan, Elçin (2018-06-01)
In this study, a tool is developed to estimate streamflow at Guvenc Basin, Ankara by using Takagi-Sugeno (TS) Fuzzy Rule-Based (RB) model. The model takes precipitation and runoff at time � as predictor (input) and estimates the runoff at time � + 1. The approach used to generate the TS RB model is based on density based clustering. Each cluster center is used to generate a fuzzy rule that represents the system behaviour. Satisfactory results are obtained especially after including the seasonal behaviour of...
Citation Formats
K. Özdemir, “Estimation of mobile robot by using a single CCD camera,” Middle East Technical University, 1996.