Title :
Thermal and visual information fusion for outdoor scene perception
Author :
Nandhakumar, N. ; Aggarwal, J.K.
Author_Institution :
Coll. of Eng., Texas Univ., Austin, TX, USA
Abstract :
A novel technique is presented for automated image analysis. Information from thermal and visual imagery is fused for classifying objects in outdoor scenes. Pixel-level information fusion yields a feature based on the lumped thermal capacitance of the objects. Region-level fusion using a decision tree classifier categorizes imaged objects as being either vegetation, building, pavement, or a vehicle
Keywords :
computer vision; decision theory; trees (mathematics); automated image analysis; building; computer vision; decision tree classifier; information fusion; lumped thermal capacitance; outdoor scene perception; pavement; thermal information; vegetation; vehicle; visual information; Cameras; Capacitance; Classification tree analysis; Computer vision; Decision trees; Heat sinks; Layout; Pixel; Temperature sensors; Vegetation mapping;
Conference_Titel :
Robotics and Automation, 1988. Proceedings., 1988 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-8186-0852-8
DOI :
10.1109/ROBOT.1988.12244
