Title :
An efficient method for automatic target position detection system
Author :
Khin, Thet Thet ; Sein, Myint Myint
Author_Institution :
Univ. of Comput. Studies, Yangon, Myanmar
Abstract :
An automatic position detection system of a desired target is developed based on the nonlinear correlation approach. The hidden target is extracted by ortho-normalization and normalized correlation between camouflaged scene and target vectors. Uniform intensity transformation technique is applied for both of them. The camouflaged targets can be detected independently of the illumination conditions. Target positions can be detected not only for the same size of the target in a scene but also detect the various sizes and various oriented target included in scene. Furthermore, target positions from a camouflaged scene are detected in both noiseless and noisy environment. The effectiveness of the proposed system can be confirmed through the results of several experiments.
Keywords :
correlation methods; object detection; target tracking; automatic target position detection system; camouflaged scene; hidden target extraction; nonlinear correlation approach; normalized correlation; target vectors; uniform intensity transformation technique; Adaptive filters; Animals; Cameras; Filtering; Image recognition; Layout; Lighting; Object detection; Pattern recognition; Working environment noise; camouflaged scene; nonlinear correlation; pattern recognition; target detection; uniform intensity transformation;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451387