Hierarchical multi-sensor image registration using evolutionary computation

Image registration between multi-sensor imagery is a challenging problem due to the difficulties associated with finding a correspondence between pixels from images taken by the two sensors. However, the moving people in a static scene provide cues to address this problem. In this paper, we propose a hierarchical approach to automatically find the correspondence between the preliminary human silhouettes extracted from synchronous color and infrared (IR) image sequences for image registration using evolutionary computation. The proposed approach reduces the overall computational load without decreasing the final estimation accuracy. Experimental results show that the proposed approach achieves good results for image registration between color and IR imagery. Categories: I. Computing Methodologies I.4 Image Processing and Computer Vision I.4.8 Scene Analysis Subject Descriptor: Sensor fusion General Terms: Algorithms

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Ju Han, Bir Bhanu
• Keywords: GECCO 2005, Image Registration, Methodologies I.4 Image, Scene Provide Cues