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Filters
Combining multiple tracking algorithms for improved general performance
2001
Pattern Recognition
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Application of Correlation Filter Tracking Algorithm Based on Multiple Color Features in Basketball Motion Capture System
2022
Journal of Sensors
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In order to improve the tracking performance of target tracking algorithm and the efficiency of traditional basketball tracking system, a correlation filtering algorithm combining multiple color features ...
Therefore, the algorithm can improve the target tracking performance of the traditional kernel correlation filter, especially solving the adaptability of the traditional algorithm in the scene of light ...
In this study, for several scene attributes that affect the algorithm, KCF algorithm combining multiple color features is used. ...
doi:10.1155/2022/3190206
doaj:c286ce3bc2d54dc6974e6a032a960a6a
fatcat:dcdlwrfl25ftvoxjkgxd43lz4u
Multi-dimensional visual tracking using scatter search particle filter
2008
Pattern Recognition Letters
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Specifically, we have compared the performance of several state-of-the-art PF-based algorithms with SSPF algorithm in different instances of 2D articulated object tracking problem and 2D multiple object ...
The most representative optimization strategies from SS are both solution combination and solution improvement. ...
These algorithms include combination stages into the PF scheme, but no improvement stage is performed. ...
doi:10.1016/j.patrec.2007.12.012
fatcat:hpqx5336knde3ets6catxvujlu
Improved IMM Algorithm for Nonlinear Maneuvering Target Tracking
2012
Procedia Engineering
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In this paper, four improved IMM algorithms (EKF-SIMM, EKF-MIMM, UKF-SIMM and UKF-MIMM) are presented for nonlinear maneuvering target tracking based on SIMM and MIMM. ...
Therefore, the proposed algorithms can be competitive alternatives to the classical IMM-based filter algorithms for nonlinear maneuvering target tracking. ...
The Interacting Multiple Model (IMM) algorithm is a widely accepted scheme for solving this problem, which is generally nonlinear. ...
doi:10.1016/j.proeng.2012.01.630
fatcat:d5p3ep7injbxdabaj37kg5ysdu
Research on Path Planning Algorithm for Driverless Vehicles
2022
Mathematics
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This paper proposes to combine the improved artificial potential field method with the rapidly exploring random tree (RRT) algorithm to plan the path. ...
First, the improved artificial potential field method is combined with the RRT algorithm, and the obstacle avoidance method of the RRT algorithm is used to solve the path oscillation; The vehicle kinematics ...
Combination of Improved Artificial Potential Field Method and RRT Algorithm This paper uses the advantages of the RRT algorithm as a supplement to make up for the shortcomings of the improved artificial ...
doi:10.3390/math10152555
fatcat:oko2syxx3rar5nmreme36eebjm
Machine Learning-Based Multitarget Tracking of Motion in Sports Video
2021
Complexity
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In this paper, we track the motion of multiple targets in sports videos by a machine learning algorithm and study its tracking technique in depth. ...
The experimental results show that the improved multitarget tracking algorithm effectively improves the Kalman filter-based algorithm to meet the real-time and accuracy requirements in intelligent video ...
Firstly, experiments are conducted separately using the combination scheme of different viewpoints to observe the tracking performance improvement effect of multiple viewpoints. en a fair comparison with ...
doi:10.1155/2021/5533884
fatcat:n2k34xrv6baw7pdn36rnt6p46i
Advances in Multi-Sensor Data Fusion: Algorithms and Applications
2009
Sensors
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Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. ...
Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of "algorithm fusion" methods; (3) Establishment of an automatic quality assessment scheme. ...
The authors would also like to thank the two anonymous reviewers for their helpful comments and suggestions. ...
doi:10.3390/s91007771
pmid:22408479
pmcid:PMC3292082
fatcat:ucoiobpr55bw7d3qnub2cnd6sa
Nonlinear Target Tracking Algorithm Based on Improved EnPF
2016
International Journal of Future Computer and Communication
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An improved ensemble particle filter (EnPF) algorithm combining the advantages of ensemble Kalman filter (EnKF) and particle filter (PF) is proposed for the nonlinear target tracking system. ...
Simulation results show that the improved EnPF can increase the stability of the tracking system and provide better tracking precision without increasing the computational complexity. ...
performance for nonlinear target tracking system was improved correspondingly. ...
doi:10.18178/ijfcc.2016.5.5.472
fatcat:nzwn4ns6lvay7l3oacuwmm46im
Improved Jet Clustering Algorithm with Vertex Information for Multi-bottom Final States
2012
Physics Procedia
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We present a full detector simulation study for the ILC of our new algorithm which makes use of secondary vertices which improves the reconstruction of b jets. ...
The sensitivity of the physics analysis depends critically on the performance of the jet clustering algorithm. ...
This work is supported in part by the Grand-in-Aid for Creative Research No. 18GS0202 of the Japan Society for Promotion of Science (JSPS), and the JSPS Grant-in-Aid for Specially Promoted Research No. ...
doi:10.1016/j.phpro.2012.03.706
fatcat:fcf4m7zpv5g7zpetu7hhsqjv2a
Visual Object Target Tracking Using Particle Filter: A Survey
2013
International Journal of Image Graphics and Signal Processing
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This paper gives the survey of the existing developments of Visual object target tracking using particle filter from the last decade and discusses the advantage and disadvantages of various particle filters ...
The performance of multiple-object tracking can be improved in several ways, such as adding background modeling information and so on. ...
In this proposed work, more cameras are needed for the algorithm.
52 High performance memetic algorithm particle filter for multiple object tracking on modern GPUs [72] In this paper, authors proposed ...
doi:10.5815/ijigsp.2013.06.08
fatcat:olg4prc5pjghza3pwzi6cigvky
Robust Visual Tracking via Multiple Kernel Boosting With Affinity Constraints
2014
IEEE transactions on circuits and systems for video technology (Print)
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We propose a novel algorithm by extending the multiple kernel learning framework with boosting for an optimal combination of features and kernels, thereby facilitating robust visual tracking in complex ...
Numerous experiments on challenging data sets with comparisons to state-of-the-art algorithms demonstrate the merits of the proposed algorithm using multiple kernel boosting and affinity constraints. ...
We propose a multiple kernel boosting algorithm for feature selection for object tracking to reduce computational load and increase empirical accuracy. ...
doi:10.1109/tcsvt.2013.2276145
fatcat:z6x4qozsj5dytgstpdvphy4w4u
Robust Object Tracking Based on Complementary Feature Fusion and Channel Reliability
2019
DEStech Transactions on Computer Science and Engineering
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Compared with the existing tracking algorithms, our algorithm tracks the target more robustly and accurately, and suppresses template drift problems effectively. ...
Experimental results on the standard benchmark show that our algorithm can compete with advanced algorithms and achieve a better level. ...
For example, Hen Fan [5] Appropriate feature fusion can generally improve the performance of the tracking system. ...
doi:10.12783/dtcse/cisnrc2019/33353
fatcat:gzmvrvozzrfxpidnkxbcrocdfq
Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching
2021
Complexity
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This paper proposes an improved interactive multimodel algorithm that can achieve player tracking and trajectory feature matching. ...
Therefore, the interactive multimodel algorithm can achieve better performance. ...
Conclusion e interactive multimodel algorithm uses multiple motion models to track the target and can achieve better performance. erefore, this paper first proposes an improved Kalman filtering algorithm ...
doi:10.1155/2021/2993675
fatcat:3hjz4mvcnrgd3ngmmnz55hd2wy
Scatter Search Particle Filter for 2D Real-Time Hands and Face Tracking
[chapter]
2005
Lecture Notes in Computer Science
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This paper presents the scatter search particle filter (SSPF) algorithm and its application to real-time hands and face tracking. ...
SSPF combines sequential Monte Carlo (particle filter) and combinatorial optimization (scatter search) methods. ...
To locate the regions of interest, this kind of systems needs for previous multiple objects tracking procedure. ...
doi:10.1007/11553595_117
fatcat:myt6yzhy5zdp3d2c2qwty6lrke
Improved jet clustering algorithm with vertex information for multi-bottom final states
[article]
2011
arXiv
pre-print
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We present a full detector simulation study for the ILC of our new algorithm which makes use of secondary vertices which improves the reconstruction of b jets. ...
The sensitivity of the physics analysis depends critically on the performance of the jet clustering algorithm. ...
b-tagging performance So far, we have used the MC generator information to compare the two algorithms. ...
arXiv:1110.5785v1
fatcat:sbtbhwgx2vhsxp6hxh3a3cy4xi
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