The invention relates to a target tracking method based on
environmental perception, and belongs to the field of
artificial intelligence and target tracking, and the target tracking method continuously monitors the motion state of a target object through the combination of target tracking and semantic segmentation, provides support for
decision making, and improves the target tracking efficiency. Comprising the steps of
image acquisition and preprocessing,
environmental perception semantic segmentation, boundary fitting post-
processing, target tracking and tracking parameter automatic updating. The target tracking method based on
environmental perception is characterized in that semantic segmentation can provide in-depth understanding of a scene, including position, state and context information of a target, support is provided for
decision making, and through combination of target tracking and semantic segmentation, mutual
complementation can be achieved, the adaptability and robustness of a
system to a complex environment are improved, and the target tracking efficiency is improved. And a
solid foundation is provided for the development of an intelligent
system. And target tracking parameters are automatically updated, so that stable cross-scene tracking is ensured.