Title :
Hierachical and integrated algorithms: comparison and applications in motion estimation and recognition
Author :
Huang, Kun ; Kumar, P.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
In this paper, we study several issues in motion estimation and object recognition. First, we compare the performance of two hierarchical and integrated methods in motion estimation. Second, we address the use of a simulated annealing algorithm for object recognition. This algorithm is then adapted for vehicle identification
Keywords :
image recognition; motion estimation; object recognition; simulated annealing; hierachical algorithms; integrated algorithms; motion estimation; object recognition; simulated annealing algorithm; vehicle identification; Annealing; Application software; Data mining; Data processing; Guidelines; Information processing; Machine vision; Motion estimation; Object recognition; Vehicles;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.912844
