Výsledky vyhledávání - "Kumara Ratnayake"

Vector of motion measurements in the living cochlea using a 3D OCT vibrometry system

Autor: Wihan Kim, Derek Liu, Sangmin Kim, Kumara Ratnayake, Frank Macias-Escriva, Scott Mattison, John S. Oghalai, Brian E. Applegate

Publikováno v: Biomed Opt Express

Optical coherence tomography (OCT) has become an important tool for measuring the vibratory response of the living cochlea. It stands alone in its capacity to measure the intricate motion of the hearing organ through the surrounding otic capsule bone

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aae85a6cf438d8286a0cee0415bdc480
https://doi.org/10.1364/boe.451537

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In vivo functional imaging of the human middle ear with a hand-held optical coherence tomography device

Autor: Wihan Kim, James B. Dewey, Frank D. Macías-Escrivá, Kumara Ratnayake, Christopher G. Lui, Brian E. Applegate, John S. Oghalai

Publikováno v: Biomedical Optics Express. 12:5196

We describe an optical coherence tomography and vibrometry system designed for portable hand-held usage in the otology clinic on awake patients. The system provides clinically relevant point-of-care morphological imaging with 14-44 µm resolution and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0942255fda3460c66dc5ef072f408e3c
https://doi.org/10.1364/boe.430935

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Motion-Augmented Inference and Joint Kernels in Structured Learning for Object Tracking

Autor: Kumara Ratnayake, Maria A. Amer

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030272012
ICIAR (1)

This paper proposes an object tracking method, where we first predict target dynamics by harmonic means and particle filter in which we exploit kernel machines to derive a new entropy-based observation likelihood distribution. We then employ online S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b1e5d29846645b375a95b82fa95e718
https://doi.org/10.1007/978-3-030-27202-9_4

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Drift Detection Using SVM in Structured Object Tracking

Autor: Kumara Ratnayake, Maria A. Amer

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030272012
ICIAR (1)

This paper extends structured learning to detect object tracking failures or inaccuracies and reinitialize itself when needed using object segmentation. First, we use binary support vector machines to develop a technique to detect tracking failures (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12b0ced51736f2a013209bb5dc5c0508
https://doi.org/10.1007/978-3-030-27202-9_6

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Embedded architecture for noise-adaptive video object detection using parameter-compressed background modeling

Autor: Kumara Ratnayake, Aishy Amer

Publikováno v: Journal of Real-Time Image Processing. 13:397-414

Video processing algorithms are computationally intensive and place stringent requirements on performance and efficiency of memory bandwidth and capacity. As such, efficient hardware accelerations are inevitable for fast video processing systems. In

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::984fe12574960ddd20298aee50bb8035
https://doi.org/10.1007/s11554-014-0418-x

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Object tracking with adaptive motion modeling of particle filter and support vector machines

Autor: Maria A. Amer, Kumara Ratnayake

Publikováno v: ICIP

In this paper, we propose an approach for tracking arbitrary objects based on dynamic motion model and support vector machines (SVMs). When the motion of target is large or abrupt, modeling target motion is crucial for robust object tracking, however

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bcf63bdfa3aef1eac3786376b2494576
https://doi.org/10.1109/icip.2015.7350978

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A real-time implementation of chaotic contour tracing and filling of video objects on reconfigurable hardware

Autor: Aishy Amer, Kumara Ratnayake

Publikováno v: SMC

This paper proposes a real-time, robust, scalable and compact field programmable gate array (FPGA) based architecture and its implementation of contour tracing and filling of video objects. Achieving real-time performance on general purpose sequentia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8f8d9489e3e8d54657f22910340f3f7f
https://doi.org/10.1109/icsmc.2007.4414062

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An FPGA Architecture of Stable-Sorting on a Large Data Volume : Application to Video Signals

Autor: Aishy Amer, Kumara Ratnayake

Publikováno v: CISS

This paper proposes a single-chip scalable and compact field programmable gate array (FPGA) based architecture of a modified counting sort algorithm which specifically addresses the issue of sorting large volume of integer or fractional data. The pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::32ccfad22fefaa2c18be978bb2955c63
https://doi.org/10.1109/ciss.2007.4298343

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Sequential, Irregular and Complex Object Contour Tracing on FPGA

Autor: Aishy Amer, Kumara Ratnayake

Publikováno v: ICIP (5)

This paper proposes a real-time, robust, scalable and compact field programmable gate array (FPGA) based architecture and its implementation of contour tracing of video objects. Achieving realtime performance on general purpose sequential processors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f05b53ab969c1b4217f09f9ddda9be5d
https://doi.org/10.1109/icip.2007.4379791

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