Automatic Kernel Bandwidth Selection for Mean-Shift Tracking Algorithm

MATLAB 12K 222 views 0 downloads 1 credits
Tags:

Resource Overview

Implementation code for automatic kernel bandwidth selection in mean-shift tracking algorithm, dynamically adjusting kernel bandwidth based on target size changes to accurately track target center during scale variations

Detailed Documentation

In the mean-shift tracking algorithm, automatic selection of kernel function bandwidth is a crucial step. The implementation involves dynamically adjusting the kernel bandwidth according to changes in target size, ensuring accurate tracking of the target's center position even when the target undergoes scale variations. This code implementation typically includes calculating target scale factors through moment analysis or histogram comparison, then applying proportional adjustments to the kernel bandwidth parameter. The key functions may involve computing zero-order and first-order moments from target probability distributions, implementing scale adaptation logic, and updating kernel parameters in real-time during tracking iterations. This critical enhancement significantly improves tracking precision by maintaining optimal kernel coverage relative to the evolving target dimensions.

You May Also Like