Title :
Target Detection Based on The Artificial Neural Network Technology
Author :
Kaiyu, Xu ; Wenhua, Hu ; Weina, Zhou ; Huayao, Zheng
Author_Institution :
Coll. of Inf. Eng., Shanghai Maritime Univ.
Abstract :
As it is difficult to detect small ship targets from complex background in an IR image because of the impact of kinds of noises, complex background and the smallness of the target, this paper puts forward a method of background prediction utilizing the neural network. The method estimates the background of the input image nonlinearly, gains the residual error image, and detects the target. By comparison, NARX whose hidden layer transfer function utilizing L-M algorithm can achieve more excellent target detection than other neural networks like BP in training speed and stability, thus it is research valuable in the field of small target detection in complex background
Keywords :
image processing; neural nets; object detection; target tracking; NARX; artificial neural network; background prediction; image background; residual error image; target detection; Artificial neural networks; Background noise; Infrared detectors; Infrared sensors; Marine vehicles; Neural networks; Object detection; Pixel; Radar detection; Transfer functions; Artificial neural network; Background prediction; NARX; Target detection;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345211