Research on Hand Gestures Tracking Based on Particle Filtering Aiming at Optimizing Time Cost
Shaobai Zhang · Dianzi xuebao · 2009
Used as basic data level,the microstructure of a state variable is described from the temporal mode,period mode of continuous deformation,mutation intensity and self-occlusion features,and the models are resulted from cognitive psychology analysis in the process of human-computer interaction.At the same time,the approach to dynamically assign the particles number over frames for reduction of the average particles number is probed into as well.The algorithm presented is implemented with VC++,and the experimental results are summarized and compared with other previous researches.By examining several real videos of moving hands,we find that our algorithm can decrease the sampled particle number more effectively than the classical particle filtering.