Dynamic Image Target Recognition Based on
Context Sensitivity
Jia Xiaolin,Wu Huisi,Qin Zheng,Li Aiguo
(School of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an
710049,China)
Abstract:Since the image sequences acquired from the on-board real-time system can not
satisfy fixed background,neither have target and high grey ratio of the background,so that
there exist defects by using traditional methods to deal with these images.A moving target
tracking method based on context sensitivity was put forward. Firstly,an improved Hough
transform (HT) algorithm was proposed to recognize the target from static images,in which
if the length of the line,or the recognized number of target points plus the remnant
length of the line are less than the threshold along certain direction,then the scanning
is stopped in that direction,so the image edges are not used as scanning edges as done in
the standard Hough transform. Secondly,based on the static image recognition algorithm,the
believe degree of the recognized image is defined and the contextual relation of the image
sequence is quantified, and then the target recognition is realized.Experiment results
show that,compared with the standard Hough transform,the proposed method not only has
stronger stability and anti-interference ability,but also has higher recognition
accuracy,and the processing speed is 3¡«5 times of the standard Hough transform.
Keywords:automatic target recognition;Hough transform;context sensitive degree;dynamic
image processing