Dual‐layered oscillatory model for object detection and tracking. Issue 16 (1st August 2017)

• Record Type: Journal Article
• Authors: Hwang, Y.; Jeong, M.‐H.; Cho, W.; Oh, S.‐R.
• Is Part Of: Electronics letters. Volume 53:Issue 16(2017)
• Page Start: 1092
• Page End: 1094
• Publication Date: 2017-08-01
• Subjects: object detection -- object tracking -- medical image processing -- brain -- neurophysiology -- vision -- synchronisation -- skin -- biomedical MRI; fMRI -- integrative pathways -- skin regions -- objection detection -- human visual process -- dorsal pathway -- motion layer -- ventral pathway -- dual‐layer architecture -- neural oscillation -- desynchronisation -- synchronisation -- locally excitatory globally inhibitory oscillator -- vision‐related temporal cortex -- vision‐related parietal cortex -- primary visual cortex -- integrative component -- oscillatory neural model -- object tracking -- object detection -- dual‐layered oscillatory model; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.1788
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A method to detect and track objects using an oscillatory neural model is presented that mimics the integrative component from the primary visual cortex to the vision‐related parietal and temporal cortex. The locally excitatory globally inhibitory oscillator is incorporated into the proposed model to implement synchronisation and desynchronisation of neural oscillation, and the dual‐layer architecture (composed of the form layer corresponding to the ventral pathway and the motion layer to the dorsal pathway) is also introduced to implement the integrated pathways of the human visual process. Objection detection corresponds to a function in the ventral pathway, and tracking of the detected object corresponds to a function in the dorsal pathway. Some experiments where skin regions were detected and tracked are carried out, and showed that the proposed model of the integrative pathways in the human visual process works successfully.