Adaptive tracking method for ground target of FLIR imaging

2009 ◽  
Author(s):  
Yun Li ◽  
Tianxu Zhang ◽  
Zhengrong Zuo ◽  
Meijun Wan
Keyword(s):  
Tracking Method ◽  
Adaptive Tracking ◽  
Ground Target

Global Bifurcation Approximation in Controlling Chaotic Systems

1998 ◽  
Vol 08 (05) ◽  
pp. 1013-1023
Author(s):  
Byoung-Cheon Lee ◽  
Bong-Gyun Kim ◽  
Bo-Hyeun Wang
Keyword(s):  
Feedback Control ◽  
Periodic Orbit ◽  
Periodic Orbits ◽  
Chaotic Attractor ◽  
Global Bifurcation ◽  
Good Control ◽  
Hysteresis Phenomenon ◽  
Unstable Periodic Orbits ◽  
Tracking Method ◽  
Adaptive Tracking

In our previous research [Lee et al., 1995], we demonstrated that return map control and adaptive tracking method can be used together to locate, stabilize and track unstable periodic orbits (UPO) automatically. Our adaptive tracking method is based on the control bifurcation (CB) phenomenon which is another route to chaos generated by feedback control. Along the CB route, there are numerous driven periodic orbits (DPOs), and they can be good control targets if small system modification is allowed. In this paper, we introduce a new control concept of global bifurcation approximation (GBA) which is quite different from the traditional local linear approximation (LLA). Based on this approach, we also demonstrate that chaotic attractor can be induced from a periodic orbit. If feedback control is applied along the direction to chaos, small erratic fluctuations of a periodic orbit is magnified and the chaotic attractor is induced. One of the special features of CB is the existence of irreversible orbit (IO) which is generated at the strong extreme of feedback control and has irreversible property. We show that IO induces a hysteresis phenomenon in CB, and we discuss how to keep away from IO.

Abstract No. 168: Bolus Chasing CT Angiography Using a Novel Adaptive Tracking Method

2008 ◽  
Vol 19 (2) ◽  
pp. S64
Author(s):  
M.J. Sharafuddin ◽  
J. Golzarian ◽  
J.J. Hoballah ◽  
H. Abada ◽  
Z. Cai ◽  
...  
Keyword(s):  
Ct Angiography ◽  
Tracking Method ◽  
Adaptive Tracking

scholarly journals Adaptive Tracking Method for Non-Cooperative Continuously Thrusting Spacecraft

Aerospace ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 244
Author(s):  
Juqi Yin ◽  
Zhen Yang ◽  
Yazhong Luo
Keyword(s):  
Kalman Filter ◽  
Estimation Accuracy ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Tracking Method ◽  
Adaptive Tracking ◽  
Convergence Performance ◽  
Model Set ◽  
Traditional Approaches ◽  
A Current

Performance of the traditional Kalman filter and its variants can seriously degrade when they are used to track a non-cooperative continuously thrusting spacecraft. To overcome this shortcoming, an adaptive tracking method for relative state estimation of a non-cooperative target is proposed based on the interacting multiple model (IMM) algorithm. First, built upon a current statistical jerk (CSJerk) model, a robust CSJerk filtering (RCSJF) algorithm is developed, which can address the issue of low estimation accuracy and instability of traditional approaches at the moments when the spacecraft starts and ends thrusting. Second, the developed RCSJF algorithm is further used to form the model set of the IMM by incorporating different maximum jerk values, based on which an adaptive tracking method is presented that can track a non-cooperative target with different maneuvering levels. Simulation results show that the proposed method can effectively track the target across all thrusts levels under the conditions considered, and the convergence performance of the proposed method is improved in comparison to the CSJerk-based extended Kalman filter, especially at the start and end time of the maneuver.

An Improved Algorithm on Adaptive KLT Vision Tracking

2013 ◽  
Vol 631-632 ◽  
pp. 1270-1275
Author(s):  
Yuan Min Liu ◽  
Lian Fang Tian
Keyword(s):  
State Of The Art ◽  
Tracking System ◽  
Tracking Algorithm ◽  
Experimental Results ◽  
Feature Points ◽  
Backward Error ◽  
Tracking Method ◽  
Adaptive Tracking ◽  
Conventional Methods ◽  
Measurement Validity

In view of the shortage of the KLT (Kanade-Lucas-Tomasi) tracking algorithm, an improved adaptive tracking method based on KLT is proposed in this paper, in which a kind of filtering mechanism is applied to decrease the effects of noise and illumination on tracking system. In order to eliminate the error of tracking, the strategies based on forward-backward error and measurement validity are utilized properly. However, because the approach to forward-backward error makes the feature points reduce, which leads to tracking failure especially when the shapes of object change, a method for appending the feature points is introduced. Experimental results indicate that the method presented in this paper is state of the art robustness in our comparison with related work and demonstrate improved generalization over the conventional methods.

scholarly journals Segmentation and Automatic Identification of Vasculature in Coronary Angiograms

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yaofang Liu ◽  
Wenlong Wan ◽  
Xinyue Zhang ◽  
Shaoyu Liu ◽  
Yingdi Liu ◽  
...  
Keyword(s):  
Histogram Equalization ◽  
Vessel Segmentation ◽  
Block Matching ◽  
Automatic Identification ◽  
Tracking Method ◽  
Adaptive Tracking ◽  
Vascular Structures ◽  
Variable Morphology ◽  
Coronary Angiograms

Coronary angiography is the “gold standard” for the diagnosis of coronary heart disease, of which vessel segmentation and identification technologies are paid much attention to. However, because of the characteristics of coronary angiograms, such as the complex and variable morphology of coronary artery structure and the noise caused by various factors, there are many difficulties in these studies. To conquer these problems, we design a preprocessing scheme including block-matching and 3D filtering, unsharp masking, contrast-limited adaptive histogram equalization, and multiscale image enhancement to improve the quality of the image and enhance the vascular structure. To achieve vessel segmentation, we use the C-V model to extract the vascular contour. Finally, we propose an improved adaptive tracking algorithm to realize automatic identification of the vascular skeleton. According to our experiments, the vascular structures can be successfully highlighted and the background is restrained by the preprocessing scheme, the continuous contour of the vessel is extracted accurately by the C-V model, and it is verified that the proposed tracking method has higher accuracy and stronger robustness compared with the existing adaptive tracking method.

A Scale Self-Adaptive Tracking Method Based on Moment Invariants

2014 ◽  
Vol 81 (2) ◽  
pp. 197-212 ◽  
Author(s):  
Yimei Kang ◽  
Bin Hu ◽  
Yi Wang ◽  
Zili Shao
Keyword(s):  
Moment Invariants ◽  
Tracking Method ◽  
Adaptive Tracking ◽  
Self Adaptive
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