ITSR-HISL: An Improved Model for Trajectory Signature Recognition in Human Interactive Sign Language

Trajectory tracking is used to keep tracks objects. Trajectory tracking control is used to affect desired trajectories of a device, human and anything can move. In order to precisely track specified trajectories, or be able to follow more general trajectories, many tracking control algorithms have been suggested, but still there is some problems of tracking trajectory in its application. This paper introduces a new proposed model for trajectory signature tracking that combines the maximally stability extremal regions (MSER) feature extraction of first level transformed domain descriptors with K-nearest neighbor classifier. Experiments have been carried out on large datasets of tracking trajectories with different characteristics. Experimental Results showed that the proposed model produce outstanding performance. Significant improvements have been showed in terms of recognition rate and recognition efficiency.