Pixel-based data fusion for a better object detection in automotive applications
The proposed technique addresses a fusion method of two imaging sensors on pixeMevel. The fused image will provide a scene representation which is robust against illumination changes and different weather conditions. Thus, the combination of the advantages of each camera will extend the capabilities for many computer vision applications, such as video surveillance and automatic object recognition. The presented pixel-based fusion technique is examined on the images of two sensors, a far-infrared (FIR) light camera and a visible light camera which are built-in a vehicle. The sensor images are first decomposed using the Dyadic Wavelet Transform. The transformed data are combined in the wavelet domain controlled by a goal-oriented fusion rule. Finally, the fused wavelet representation image will be processed by a pedestrian detection system.
image registration plxel-based data fusion wavelet transform pedestrian recognition
Jan Thomanek Holger Lietz Gerd Wanielik
Ingenieurgesellschafi Auto und Verkehr GmbH Kauffahrtei 25 09120 Chemnitz, Germany Professorship of Communication Engineering Chemnitz University of Technology 09107 Chemnitz, Germany
国际会议
厦门
英文
385-390
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）