Robust human motion recognition employing adaptive database structure

Development of a robust human motion recognition system concerns with the fact that it adapts with the complexities of recognition. As the determination of the direction of motion is a significant cue, this paper employs the directional vectors in motion analysis that claims the enhancement of robustness over earlier methods. Multi-directional distinct motions are represented and compressed with the motion flow detection and compression technique, and prominent features are extracted. The extracted features are stored within an adaptive database. Finally, the evaluation of the proposed system is performed by recognizing different motions. The results guarantee the robustness of the system.