Considering the diversity of sign languages across geographical regions, developing region-specific ISLR datasets is crucial for supporting communication and research. Auslan, as a sign language specific to Australia, still lacks a dedicated large-scale word-level dataset for the ISLR task.

Albeit it is crucial for autonomous driving and night vision, this problem has not been yet focused on as much as other object detection (OD).

Source code is available at https://github.com/MIV-XJTU/SPEED .

Object tracking is a fundamental task in computer vision, requiring the localization of objects of interest across video frames.

In particular, the non-linear model is often optimized, whereas the reference KF model is not. We argue that both should be optimized similarly, and to that end present the Optimized KF ( OKF).