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Strobel et al. [25] presented a joint audio-video object tracking method based on decentralized Kalman filters.
In this paper, a new cruise missile path tracking method based on second-order smoothing is presented.
Secondly, we introduce a robust real-time 3D tracking method based on the Kalman filter for motion estimation and GNN for observation in order to track assignments.
In addition, the WSN node target tracking method based on the LSSVR algorithm was proposed by Kim W et al. [11].
HCPF-AAM uses a modified PF tracking method based on Harris corner samples which is optimized and combined with an AAM technique.
The order tracking method based on time-frequency representation is regarded as an effective tool for fault detection of bearings with varying rotating speeds.
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In [115, 116], real-time object positioning and tracking methods based on background difference were studied.
Many tracking methods based on the PDA algorithm have been successively developed [7, 8].
The object tracking methods based on these conventional Bayesian filters have a varying degree of complexity and accuracy.
It is of interest to develop NLOS mitigation techniques, providing enhanced robustness to tracking methods based on TOA measurements [6].
Tracking methods based on color feature are robust against camera view angle changes, object size changes, rotation, and partial occlusion.
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