Title :
Segmentation and Classification of Human Forms using LADAR Data
Author :
Albus, James S. ; Hong, Tsai ; Chang, Tommy
Author_Institution :
Intell. Syst. Div., Nat. Inst. of Stand. & Technol., Washington, DC
Abstract :
High resolution LADAR (laser detection and ranging) images of scenes containing human forms have been automatically segmented and simple algorithms have been developed for recognizing human forms in various positions in both cluttered and uncluttered scenes. Registration of LADAR and color CCD images is suggested as a method to enhance the ability to segment both types of images.
Keywords :
image classification; image segmentation; optical radar; LADAR; color CCD images; human forms; image classification; image segmentation; Data structures; Humans; Image segmentation; Intelligent systems; Labeling; Laser radar; Layout; NIST; Pixel; Prototypes;
Conference_Titel :
Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-7695-2739-6
Electronic_ISBN :
1550-5219
DOI :
10.1109/AIPR.2006.35