Jianfei Mao

A Robust Mean Shift Tracking Algorithm Combined with Gray Spatial Texture

The classical Mean Shift algorithm has some limitations in target tracking of gray image sequences for it only adopts the simple gray color information. We present an improved Mean Shift tracking algorithm in this paper. Our approach employs the information of gray spatial texture which is used to characterize the object in matching models calculation. Thus, the proposed algorithm can recognize the real target from a complicated background. The experiments show that improved Mean Shift tracking algorithm has higher efficiency and reliability than previous method.

Vision-based robotic graphic programming system

Visual sensor is widely used in the robotics industry for its cheapness and acquiring information-rich. In this paper we study on vision-based robot programming system and represent the system architecture including the whole framework, the hardware and software components, the visual feedback control loop structure. The relative techniques include robot vision calibration, the building of 3D graphics simulation platform and the workstation-based open robot controller. At last we demonstrate a game of robot lighting candles based on the simulation platform and a game of robot locating in real experiment, separately.