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A particle filter approximates the posterior state probability density using a set of particles and propagating these particles over time with appropriate weighting coefficients often produces efficient tracking.
Real-time performance of the system was a major goal hence efficient tracking algorithms have been produced as well as an analysis of their performance.
A simple and efficient tracking system based on Oriented FAST and Rotated BRIEF (ORB) is presented by Wu et al. [4].
By reducing the computation load related to sparse representation hundreds of times, this paper proposes by far the most computationally efficient tracking approach based on sparse representation.
An efficient tracking down to a few centimetres from the interaction point will be required to exploit the physics potential of the upgraded LHC.
The combination gives ATLAS a robust, hermetic and efficient tracking system, able to reconstruct tracks at the highest foreseen LHC luminosities.
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And you can only get so far discussing Delphic and the putative new sound of Manchester without mentioning New Order, whose spirit infuses these 10 sleek and efficient tracks.
This paper has proposed an efficient tracking-by-detection scheme based on two-stage sparse representation.
However, both of the exiting algorithms neglect providing an efficient track quality measure for track management.
It is often attempted to maintain SNR close to an optimum value for efficient track updates.
Efficient track reconstruction and excellent trigger performances are essential in order to exploit fully its physics potential.
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