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Multiple Object Detection and Tracking in Dynamic Environment using Real Time Video

Tanuja Kayarga
2017 International Journal of Trend in Scientific Research and Development  
by replacing the aging old traditional method of monitoring cameras by human operators.  ...  Video surveillance is an active research topic in computer vision that tries to detect, recognize and track objects over a sequence of images and it als attempt to understand and describe object behavior  ...  In this example, the Kalman can be a thought of as operating in two distinct phases: predict and update.  ... 
doi:10.31142/ijtsrd7181 fatcat:75frve6ojfgh3clhsgunssij3a

Kalman Filter Based Optimal Controllers in Free Space Optics Communication

Zhaokun Li, Xiaohui Zhao
2016 Journal of the Optical Society of Korea  
In order to improve the performance of the AO system described by discrete-time linear system model with time-delay and implicit phase turbulent model, new controllers based on a Kalman filter and its  ...  the sequential and U-D filters perform well compared with a Kalman filter.  ...  KALMAN FILTER AND ITS VARIANTS IN AO SYSTEM Fading-memory filter FSO system is a real-time system with high operating speed.  ... 
doi:10.3807/josk.2016.20.3.368 fatcat:ndq7yonwm5hfdci5unvnwzghfm

Finger Grip Force Estimation from Video using Two Stream Approach [article]

Andrey Sartison, Dima Mironov, Kamal Youcef-Toumi, Dzmitry Tsetserukou
2018 arXiv   pre-print
In this work, image processing and machine learning techniques are used along with dense optical flow for frame change tracking and Kalman filter is used for stream fusion.  ...  Human demonstration of a correct way of doing an operation is a powerful source of information which can be used for guided robot teaching.  ...  Each stream has a different preprocessing part, but similar machine learning phase. Kalman filter was used to combine information from each stream to get the final estimation of force applied.  ... 
arXiv:1803.01630v1 fatcat:nast46wcyferznk6ppgie5g2ce

Dense 3D Motion Field Estimation from a Moving Observer in Real Time [chapter]

Clemens Rabe, Uwe Franke, Reinhard Koch
2013 Smart Mobile In-Vehicle Systems  
This approach combines state-of-the-art dense optical flow estimation, including spatial regularization, and dense stereo information using Kalman filters to achieve temporal smoothness and robustness.  ...  An efficient parallel implementation using a GPU and an automotive compliant FPGA yields a real-time vision system which is directly applicable in real-world scenarios including driver assistance systems  ...  The overall system achieves real time (20 Hz) on VGA images and consists of the following phases: image acquisition, rectification, stereo computation on an FPGA, optical flow calculation and Kalman filter  ... 
doi:10.1007/978-1-4614-9120-0_2 fatcat:xfl7rsdporganjkctfrfqiskse

A laboratory demonstration of an LQG technique for correcting frozen flow turbulence in adaptive optics systems [article]

Alexander Rudy, Lisa Poyneer, Srikar Srinath, S. Mark Ammons, Donald Gavel
2015 arXiv   pre-print
We present the laboratory verification of a method for re- moving the effects of frozen-flow atmospheric turbulence using a Linear Quadratic Gaussian (LQG) controller, also known as a Kalman Filter.  ...  We found that the RMS residual wavefront error was suppressed from 35.0 nm to 11.2 nm due to the use of Predictive Fourier Control, and that the far field Strehl improved from 0.479 to 0.520.  ...  Phase reconstruction as performed by a standard adaptive optics system. The Predictive Fourier Controller, which uses a Kalman Filter to provide a best estimate of the correction in the future. 3.  ... 
arXiv:1504.03686v1 fatcat:27dnwwvuinb2td2ingt4orsq6e

Large dynamic range and high sensitivity PGC demodulation technique for Tri-Component Fiber Optic seismometer

Changbo Hou, Guowei Liu, Shuai Guo, Shuaifei Tian, Yonggui Yuan
2020 IEEE Access  
This paper introduces a new demodulation algorithm called Kalman filtering ellipse (PGC-Arctan-EKF) demodulation algorithm, which can improve the robustness of the fitting.  ...  INDEX TERMS Tri-component fiber optic seismometer, PGC-arctan-EKF, ellipse fitting, SoC. CHANGBO HOU received the B.S. and M.S. degrees from the College  ...  THE EFFECTIVENESS OF KALMAN FILTERING As can be seen from Figure 5 (a), due to the nonlinear distortion, the Lissajous figure of the two signals before the Kalman filtering is an ellipse, and the eccentricity  ... 
doi:10.1109/access.2020.2966280 fatcat:rzy4nux5unandffhgvsp2fhive

Optical tweezers-based velocimetry: a method to measure microscale unsteady flows

P. Ghoddoosi Dehnavi, D. Wei, M.-E. Aubin-Tam, D. S. W. Tam
2020 Experiments in Fluids  
The OTV method measures the nanometric displacements of a trapped bead, and predicts the instantaneous velocity of the flow by employing a Kalman filter.  ...  Optical tweezers-based velocimetry: a method to measure microscale unsteady flows. Experiments in Fluids, 61(9), [202].  ...  We implement a Kalman filter model to predict instantaneous flow velocities from the optical tweezers measurements.  ... 
doi:10.1007/s00348-020-03031-4 fatcat:2xzedgiygbgt3iincfcwerii2y

Computationally efficient autoregressive method for generating phase screens with frozen flow and turbulence in optical simulations

Srikar Srinath, Lisa A. Poyneer, Alexander R. Rudy, S. Mark Ammons
2015 Optics Express  
We present a sample-based, autoregressive (AR) method for the generation and time evolution of atmospheric phase screens that is computationally efficient and uses a single parameter per Fourier mode to  ...  Comparisons of adaptive optics (AO) simulator performance when fed AR phase screens and translating phase screens reveal significantly elevated residual closed-loop temporal power for small increases in  ...  Wind predictive AO relies on Kalman filters generated from AR model fits to telemetry in real-time.  ... 
doi:10.1364/oe.23.033335 pmid:26831998 fatcat:6cq4rvbevbf7pdzh7eav3lckb4

Human tracking from a mobile agent: Optical flow and Kalman filter arbitration

Yuichi Motai, Sumit Kumar Jha, Daniel Kruse
2012 Signal processing. Image communication  
The proposed method arbitrates between KF and Optical flow (OF) to improve the tracking performance.  ...  The Kalman filter (KF) has commonly been used for estimation and prediction of the target position in succeeding frames.  ...  ., Human tracking from a mobile agent: Optical flow and Kalman filter arbitration, Signal Process.  ... 
doi:10.1016/j.image.2011.06.005 fatcat:ogsexhermbbr5coeievwbgibaa

Applications of Kalman Filters for Coherent Optical Communication Systems [chapter]

Lalitha Pakala, Bernhard Schmauss
2018 Kalman Filters - Theory for Advanced Applications  
Frequency and phase offset estimation using a two stage linear Kalman filter (LKF)/EKF is also discussed.  ...  In this chapter, we review various applications of Kalman filtering for coherent optical communication systems.  ...  Acknowledgements The authors gratefully acknowledge the support of the Erlangen Graduate School in Advanced Optical Technologies (SAOT) funded by the German National Science Foundation (DFG) in the framework  ... 
doi:10.5772/intechopen.71617 fatcat:ktpwjl72nfa6vdxkpwenf27na4

Objects detection and tracking using fast principle component purist and kalman filter

Hadeel N. Abdullah, Nuha H. Abdulghafoor
2020 International Journal of Electrical and Computer Engineering (IJECE)  
In this proposed work, a new algorithm to detect moving objects from video data is designed by the Fast Principle Component Purist (FPCP).  ...  This paper proposes a new algorithm based on several methods for identifying, detecting, and tracking an object in order to develop an effective and efficient system in several applications.  ...  The Kalman filter is a linear approach that operates in two basic phases of prediction and correction (update).  ... 
doi:10.11591/ijece.v10i2.pp1317-1326 fatcat:ef2o3qtbenbjrkmq2amb2hfbxy

Automatic Objects Detection and Tracking Using FPCP, Blob Analysis and Kalman Filter

Hadeel N. Abdullah, Nuha H. Abdulghafoor
2020 Engineering and Technology Journal  
In this proposed work, a new algorithm to detect moving objects from video data is designed by the Fast Principle Component Purist (FPCP).  ...  The Blob analysis is used to add smoothness to the spatial identification of objects and their areas, and finally, the detected object is tracked by Kalman Filter.  ...  The Kalman filter is a linear approach that operates in two basic phases of prediction and correction (update).  ... 
doi:10.30684/etj.v38i2a.314 fatcat:bwu33wjqjrelfnoeou6vfxdhne

Certain Approach of Object Tracking using Optical Flow Techniques

R. Revathi, M. Hemalatha
2012 International Journal of Computer Applications  
Next, identifying the moving objects from the portion of the video frame is performed using the background subtraction technique based on frame difference.  ...  The object tracking is performed by optical flow with Bayesian boosting algorithm method on detected object in each frame as a feature extraction method.  ...  optical flow based approach.  ... 
doi:10.5120/8445-2232 fatcat:acuy2473jnaf7c3vi4dzvwql6u

Event based Kalman filter observer for rotary high speed on/off valve

Meng Wang, Perry Y. Li
2008 2008 American Control Conference  
The valve is designed to operate at a spool frequency of 20Hz to 40Hz. A coarse non-contacting optical encoder is proposed to measure the angular position of the valve spool.  ...  An event-based Kalman filter is developed to improve on the resolution and to provide continuous estimation of the spool angular position and velocity.  ...  However, with irregular measurements, traditional Kalman filter structure must be adapted to operate as an event-based estimator.  ... 
doi:10.1109/acc.2008.4586711 dblp:conf/amcc/WangL08 fatcat:j6fif5x5rrefjc2o7j7tpu66sm

Fast reconstruction and prediction of frozen flow turbulence based on structured Kalman filtering

Rufus Fraanje, Justin Rice, Michel Verhaegen, Niek Doelman
2010 Optical Society of America. Journal A: Optics, Image Science, and Vision  
This sparsity structure enables one to efficiently compute a structured Kalman filter.  ...  Efficient and optimal prediction of frozen flow turbulence using the complete observation history of the wavefront sensor is an important issue in adaptive optics for large ground-based telescopes.  ...  The 2-step-ahead predictor based on the Kalman filter with a SSS structure is denoted by "2-step SSS Kalman," and finally the 2-step-ahead predictor based on the Kalman filter obtained by solving the Riccati  ... 
doi:10.1364/josaa.27.00a235 pmid:21045884 fatcat:cktuc3vryzfspljpolvcpycajy
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