Yong Jin

Strong Tracking PHD Filter Based on Variational Bayesian with Inaccurate Process and Measurement Noise Covariance

2021 · Sensors

Assuming that the measurement and process noise covariances are known, the probability hypothesis density (PHD) filter is effective in real-time multi-target tracking; however, noise covariance is often unknown and time-varying for an actual scene. To …

Privacy Preserved Achievement Method for OCSP Status and Supported Protocols in Full-DoH Architecture

2024

Currently, efforts to protect privacy information through encrypted DNS communications are becoming increasingly active. The encryption of DNS, standardized by the IETF, predominantly uses TLS. However, the use of TLS for encrypting DNS communications results …