[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

Abstract

The original target tracking algorithm based on a single model has long been unable to meet the complex and changeable characteristics of the target, and then there are problems such as poor tracking accuracy, target loss, and model mismatch. The interactive multimodel algorithm uses multiple motion models to track the target, obtains the degree of adaptation between the actual motion state of the target and each model according to the calculated likelihood function, and then combines the updated weight values of each filter to obtain a weighted sum. Therefore, the interactive multimodel algorithm can achieve better performance. This paper proposes an improved interactive multimodel algorithm that can achieve player tracking and trajectory feature matching. First, this paper proposes an improved Kalman filtering (IKF) algorithm. This method is developed from the unbiased conversion measurement Kalman filter, which can obtain more accurate target state and covariance estimation. Secondly, using the parallel processing mode of the IMM algorithm to efficiently solve the data association between multiple filters, the IMM-IKF model is proposed. Finally, in order to solve the problem of low computational efficiency and high mismatch rate in image feature point matching, a method of introducing a minimum spanning tree in two-view matching is proposed. Experimental results show that the improved IMM-IKF algorithm can quickly respond to changes in the target state and can find the matching path with the lowest matching cost. In the case of ensuring the matching accuracy, the real-time performance of image matching is ensured.

An Adaptive IMM Algorithm for a PD Radar with Improved Maneuvering Target Tracking Performance

“…0.99 0.01 0.01 0.99 (27) As shown in Figure 5a-d, the new probability transfer matrix improves the probability when the model matches the target's motion state. The probability of matching the model is closer to 1 compared to the previous experiment, even after the addition of the measurement noise.…”

“…Different P t values may affect the tracking performance of IMM tracking algorithms. In order to investigate the effect of this factor on such IMM algorithms, a control experiment is set up and P t is designed in Equation (27). The other experimental parameters were the same as in the previous experiment.…”

“…The information obtained through the aforementioned three steps can be utilized for state information fusion and serve as the output of the algorithm [26][27][28]: the state estimation, X(k|k), and the covariance of state estimation, P(k|k).…”

Retracted: Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”