Mr. Surrey Kim Profile

Surrey Kim

at Univ of Alberta

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 9 August 2004 Paper

Detecting network portscans through anomoly detection

Hyukjoon Kim, Surrey Kim, Michael Kouritzin, Wei Sun

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.546127

KEYWORDS: Computing systems, Smoothing, Performance modeling, Analytical research, Statistical analysis, Statistical modeling, Reconnaissance, Computer simulations, Scanners, Sun

Read Abstract +

Proceedings Article | 9 August 2004 Paper

A stochastic grid filter for multi-target tracking

Surrey Kim, Michael Kouritzin, Hongwei Long, Jesse McCrosky, Xingqiu Zhao

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.546125

KEYWORDS: Filtering (signal processing), Electronic filtering, Submerged target modeling, Signal processing, Stochastic processes, Particles, Systems modeling, Fourier transforms, Mathematical modeling, Nonlinear filtering

Read Abstract +

Proceedings Article | 23 December 2002 Paper

Continuous and discrete space particle filters for predictions in acoustic positioning

Will Bauer, Surrey Kim, Michael Kouritzin

Proceedings Volume 4792, (2002) https://doi.org/10.1117/12.450354

KEYWORDS: Particles, Particle filters, Acoustics, Electronic filtering, Ultrasonics, Error analysis, Motion models, Particle systems, Nonlinear filtering, Light sources and illumination

Read Abstract +

Predicting the future state of a random dynamic signal based on corrupted, distorted, and partial observations is vital for proper real-time control of a system that includes time delay. Motivated by problems from Acoustic Positioning Research Inc., we consider the continual automated illumination of an object moving within a bounded domain, which requires object location prediction due to inherent mechanical and physical time lags associated with robotic lighting. Quality computational predictions demand high fidelity models for the coupled moving object signal and observation equipment pair. In our current problem, the signal represents the vector position, orientation, and velocity of a stage performer. Acoustic observations are formed by timing ultrasonic waves traveling from four perimeter speakers to a microphone attached to the performer. The goal is to schedule lighting movements that are coordinated with the performer by anticipating his/her future position based upon these observations using filtering theory. Particle system based methods have experienced rapid development and have become an essential technique of contemporary filtering strategies. Hitherto, researchers have largely focused on continuous state particle filters, ranging from traditional weighted particle filters to adaptive refining particle filters, readily able to perform path-space estimation and prediction. Herein, we compare the performance of a state-of-the-art refining particle filter to that of a novel discrete-space particle filter on the acoustic positioning problem. By discrete space particle filter we mean a Markov chain that counts particles in discretized cells of the signal state space in order to form an approximated unnormalized distribution of the signal state. For both filters mentioned above, we will examine issues like the mean time to localize a signal, the fidelity of filter estimates at various signal to noise ratios, computational costs, and the effect of signal fading; furthermore, we will provide visual demonstrations of filter performance.

Proceedings Article | 31 July 2002 Paper

Weighted interacting particle-based nonlinear filter

David Ballantyne, Surrey Kim, Michael Kouritzin

Proceedings Volume 4729, (2002) https://doi.org/10.1117/12.477609

KEYWORDS: Particles, Particle filters, Digital filtering, Nonlinear filtering, Error analysis, Raster graphics, Electronic filtering, Filtering (signal processing), Interference (communication), Stochastic processes

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years