Title :
Infrared small target discrimination using sequential forward feature selection with AUC mettric
Author :
Sungho Kim ; Kyung-Tae Kim ; Sohyun Kim
Author_Institution :
Adv. Visual Intell. Lab., Yeungnam Univ., Yeungnam, South Korea
fDate :
Feb. 26 2014-March 1 2014
Abstract :
Infrared search and track (IRST) is an important research topic in military applications in surveillance and precise guided missiles. The bottleneck of IRST algorithm is huge number of false alarms in real world applications due to sky cloud, sea-glints, and ground clutters. This paper presents a novel target discrimination method using forward feature selection with area under ROC curve (AUC) metric. Experimental results on real target sequences validate the feasibility of the proposed method.
Keywords :
feature selection; military computing; missiles; object detection; optical tracking; surveillance; AUC metric; IRST algorithm; area under ROC curve metric; forward feature selection; ground clutters; infrared search and track; infrared small target discrimination; military applications; precise guided missiles; sea-glints; sequential forward feature selection; sky cloud; surveillance missiles; Clutter; Feature extraction; Image sequences; Neural networks; Object detection; Target tracking; Small target; false alarm; feature selection; sequential forward;
Conference_Titel :
Industrial Technology (ICIT), 2014 IEEE International Conference on
Conference_Location :
Busan
DOI :
10.1109/ICIT.2014.6895005
