DocumentCode :
1619776
Title :
Visual target tracking and extraction from a sequence of images
Author :
Bourbakis, N. ; Andel, R. ; Hall, Asha
Author_Institution :
Center for Intelligent Syst., Binghamton Univ., NY, USA
fYear :
1997
Firstpage :
384
Lastpage :
391
Abstract :
Presents a methodology for visually tracking and extracting targets from a sequence of images (video). The methodology presented in this paper consists of a combination of algorithms, such as heuristic segmentation, edge detection, thinning, region growing, fractals, feature extraction, graphs with attributes, etc., appropriately selected according to the existing situation, such as moving target/still camera, still target/moving camera and moving target/moving camera. The new contribution of this paper is the combination of algorithms in a human-like feedback geometric approach for processing low-resolution information from consecutive images. Simulated results of the methodology are presented
Keywords :
computational geometry; edge detection; feature extraction; feedback; fractals; graph theory; heuristic programming; image segmentation; image sequences; motion estimation; object recognition; target tracking; attributes; edge detection; feature extraction; fractals; graphs; heuristic segmentation; human-like feedback geometric approach; image sequence; low-resolution information processing; moving camera; moving target; region growing; simulation; still camera; still target; target extraction; thinning; video sequence; visual target tracking; Cameras; Clustering algorithms; Data mining; Feature extraction; Fractals; Humans; Image resolution; Neural networks; Radar scattering; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
Conference_Location :
Newport Beach, CA
ISSN :
1082-3409
Print_ISBN :
0-8186-8203-5
Type :
conf
DOI :
10.1109/TAI.1997.632279
Filename :
632279
Link To Document :
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