We present a graph matching algorithm that mitigates relaxation bias through a regularization term and achieves substantial acceleration via an innovative mixed-precision architecture.

To address viewpoint variations and occlusions, this paper proposes a novel Spatial-Temporal Tracklet Graph Matching paradigm (STAR).