Estimation of 2d motion trajectories from video object planes and its application in hand gesture recognition

摘要: Hand gesture recognition from visual images finds applications in areas like human computer interaction, machine vision, virtual reality and so on. Vision-based hand involves analysis of shape, position and/or movement. In this paper, we present a model-based method for tracking motion complex scene, thereby estimating the trajectory. our proposed technique, first segment frames into video object planes (VOPs) with as object. This is followed by using Hausdorff tracker. next step, centroids all VOPs are calculated moments well information. Finally, trajectory estimated joining VOP centroids. experiment, estimation algorithm gives about 99% accuracy finding actual