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Effectual Training for Object Detection Using Eye Tracking Data Set

Publication Type : Conference Paper

Publisher : 2018 International Conference on Inventive Research in Computing Applications

Source : 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, Coimbatore, India (2018)

Url : https://ieeexplore.ieee.org/abstract/document/8597275

Keywords : Automatic Detection, Cascade object detector, cascade training algorithm, Clustering algorithms, effectual training, eye movements, eye tracker, eye tracking data set, eye-tracker device, False alarm rate, Feature extraction, fixation point, Fixation point and fixation duration, gaze tracking, Image color analysis, K-means clustering, K-Means clustering algorithm, no-entry sign board, Object Detection, Object Tracking, observers, pattern clustering, Tracking, Training, Visual Attention

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2018

Abstract : Eye tracking device is playing a major role in research area due to its feature to capture the eye movements of a human. Eye tracker gives the patterns of visual attention of the observer which is analyzed in terms of fixations and saccades. The proposed work is used eye tracker for training the system of automatic detection of no-entry sign board. The whole process is divided into three stages: in first stage, fixation point is collected from an eye-tracker device. In second stage, objects are tagged by k-means clustering algorithm applied on fixation points. In third stage, the system is trained using cascade training algorithm to detect the objects automatically. No-entry sign boards are considered as the target in the proposed work. Detection of objects is based on fixation points rather than analyzing the features of all the pixels of the images.

Cite this Research Publication : S. Vishwakarma, Radha D., and Amudha J., “Effectual Training for Object Detection Using Eye Tracking Data Set”, in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2018.

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