A Weight Redistributed GM-PHD filter Accounting for Stochastic Missed Detection

Key Points

• The weight redistributed GM-PHD filter enhances detection capabilities in real-time scenarios, improving tracking accuracy.
• Key evidence shows improved performance metrics when incorporating stochastic processes into traditional methods.
• Analysis of simulated tracking scenarios demonstrates the efficiency of the weight redistribution approach in overcoming missed detections.
• Improved algorithm highlights the potential for better target tracking systems, but real-world trials are needed for validation.