An improved GSTAKF-based pedestrian tracking method for abrupt state estimation
In deep-learning-based multi-object tracking frameworks, deep neural networks are used for object detection, appearance feature extraction, and data association, while filtering models perform target-state prediction and observation update for continuous trajectory estimation. Under occlusion, overlap, and false detect...