Interested Object Detection based on Gaze using Low-cost Remote Eye Tracker

2019 ◽  
Author(s):  
Xiaoxue Luo ◽  
Junjie Shen ◽  
Hong Zeng ◽  
Aiguo Song ◽  
Baoguo Xu ◽  
...  
Keyword(s):  
Object Detection ◽  
Low Cost ◽  
Eye Tracker

scholarly journals A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 517
Author(s):  
Seong-heum Kim ◽  
Youngbae Hwang
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Low Cost ◽  
Detection Methods ◽  
Future Research ◽  
3D Object ◽  
Practical Applications ◽  
Depth Sensors ◽  
Significant Research ◽  
3D Object Detection

Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. This study investigates the major breakthroughs and current progress in deep learning-based monocular 3D object detection. For relatively low-cost data acquisition systems without depth sensors or cameras at multiple viewpoints, we first consider existing databases with 2D RGB photos and their relevant attributes. Based on this simple sensor modality for practical applications, deep learning-based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. We present the key concepts and detailed descriptions of representative single-stage and multiple-stage detection solutions. In addition, we discuss the effectiveness of the detection models on their baseline benchmarks. Finally, we explore several directions for future research on monocular 3D object detection.

scholarly journals A Fast and Effective System for Analysis of Optokinetic Waveforms with a Low-Cost Eye Tracking Device

Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Chong-Bin Tsai ◽  
Wei-Yu Hung ◽  
Wei-Yen Hsu
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Low Cost ◽  
Saccadic Eye Movements ◽  
Slow Phase ◽  
Eye Tracker ◽  
Effective System ◽  
Tracking Device ◽  
Traditional Approaches

Optokinetic nystagmus (OKN) is an involuntary eye movement induced by motion of a large proportion of the visual field. It consists of a “slow phase (SP)” with eye movements in the same direction as the movement of the pattern and a “fast phase (FP)” with saccadic eye movements in the opposite direction. Study of OKN can reveal valuable information in ophthalmology, neurology and psychology. However, the current commercially available high-resolution and research-grade eye tracker is usually expensive. Methods & Results: We developed a novel fast and effective system combined with a low-cost eye tracking device to accurately quantitatively measure OKN eye movement. Conclusions: The experimental results indicate that the proposed method achieves fast and promising results in comparisons with several traditional approaches.

scholarly journals A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 678
Author(s):  
Vladimir Tadic ◽  
Tatjana Loncar-Turukalo ◽  
Akos Odry ◽  
Zeljen Trpovski ◽  
Attila Toth ◽  
...  
Keyword(s):  
Object Detection ◽  
Detection Method ◽  
Gabor Filter ◽  
Low Cost ◽  
Fuzzy Optimization ◽  
Detection Performance ◽  
Text Detection ◽  
License Plate ◽  
2D Gabor Filter ◽  
Fine Tune

This note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to be a robust text an object detection method in low-quality input images as extensively evaluated in the problem of license plate localization. The extended set of examples confirmed that the fuzzy optimized Gabor filter with adequately fuzzified parameters detected the desired license plate texture components and highly improved the object detection when compared to the classic Gabor filter. The robustness of the proposed approach was further demonstrated on other images of various origin containing text and different textures, captured using low-cost or modest quality acquisition procedures. The possibility to fine tune the fuzzification procedure to better suit certain applications offers the potential to further boost detection performance.

Enabling real-time object detection on low cost FPGAs

2021 ◽  
Author(s):  
Vikram Jain ◽  
Ninad Jadhav ◽  
Marian Verhelst
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Low Cost

Investigation of Low Cost Eye Tracker and EEG for Objectively Assessing Vigilance Level

IRC-SET 2018 ◽  
2019 ◽  
pp. 63-74
Author(s):  
Yuqing Xue ◽  
Wenjing Tan ◽  
Jia Ning Shermaine Ang ◽  
Aung Phyo Wai Aung
Keyword(s):  
Low Cost ◽  
Eye Tracker

scholarly journals Measuring the Spatial Noise of a Low-Cost Eye Tracker to Enhance Fixation Detection

2018 ◽  
Vol 4 (8) ◽  
pp. 96 ◽  
Author(s):  
Kristien Ooms ◽  
Vassilios Krassanakis
Keyword(s):  
Low Cost ◽  
Methodological Framework ◽  
Eye Tracker ◽  
Artificial Eye ◽  
Fixation Detection ◽  
Spatial Noise ◽  
Experimental Process ◽  
Real Test ◽  
Selection Of

The present study evaluates the quality of gaze data produced by a low-cost eye tracker (The Eye Tribe©, The Eye Tribe, Copenhagen, Denmark) in order to verify its suitability for the performance of scientific research. An integrated methodological framework, based on artificial eye measurements and human eye tracking data, is proposed towards the implementation of the experimental process. The obtained results are used to remove the modeled noise through manual filtering and when detecting samples (fixations). The outcomes aim to serve as a robust reference for the verification of the validity of low-cost solutions, as well as a guide for the selection of appropriate fixation parameters towards the analysis of experimental data based on the used low-cost device. The results show higher deviation values for the real test persons in comparison to the artificial eyes, but these are still acceptable to be used in a scientific setting.

A Low-Cost Head Supported Eye Tracker with High Precision

2013 ◽  
Vol 772 ◽  
pp. 455-460
Author(s):  
Jie Chun Chen ◽  
Shi Quan Ma ◽  
Li Ping Zhao
Keyword(s):  
High Precision ◽  
Relative Position ◽  
Low Cost ◽  
Experimental Results ◽  
Average Error ◽  
Eye Tracker ◽  
Experimental Apparatus ◽  
The Subject ◽  
Maximal Average

This paper discusses a low cost head-supported eye tracker. To measure the coordinates associated with a subjects gaze point fallen on a monitor, the subject places his head on a head support and keeps his head fixed. Meanwhile, a camera is used to capture images of the subjects left or right eye. The subjects gaze point fallen on a monitor can be determined according to the relative position of the pupil and glint in an eye image. This paper presents not only the principle of this eye tracker, but also the methods used to detect the pupil and glint in an eye image. At last, this paper presents some experimental results, and the experimental results show that the maximal average error of the experimental apparatus is 15 pixels or 0.4 in degrees.

scholarly journals Is the low-cost EyeTribe eye tracker any good for research?

2014 ◽  
Author(s):  
Edwin Dalmaijer
Keyword(s):  
Low Cost ◽  
Sampling Rate ◽  
High Accuracy ◽  
Eye Tracker ◽  
The World ◽  
Quality Video ◽  
Low Costs ◽  
Precision And Accuracy ◽  
High Quality Video ◽  
Tracking Technology

Eye-tracking technology is becoming increasingly cheaper, both on the hardware and on the software front. Currently, the EyeTribe tracker is the most inexpensive commercial eye tracker in the world, at a price of $99. The low costs make it a potentially interesting resource for research, but no objective testing of its quality has been performed yet. Here the EyeTribe tracker is compared with an EyeLink 1000, a high-quality video eye tracker. Results indicate that the spatial precision and accuracy are good enough for fixation checking, point-of-regard analyses, and pupilometry. However, the low sampling rate renders the device unsuitable for testing high-accuracy saccade metrics. Additionally, open-source toolboxes for Matlab and Python, and a plug-in for OpenSesame are presented, which can be used to interface with the EyeTribe tracker.

Sign in / Sign up

Export Citation Format

Share Document