In the maritime environment, It is necessary for ship's self protection to search ad track approaching targets. We
developed high performance search and tracking system with Infrared sensors. Our system can obtain high performance
with several FPGAs and COTS processing boards. Dual band IR sensor (MWIR and LWIR) also gives two types of
target detection and tracing abilities. Our system designed to automatically detect and track both air and surface targets
such as sea skimming missiles, small ships, and aircrafts at a long range. In this paper, we describe technologies in our
search and tracking system architecture. We describe software architecture for signal processing and target detection and
tracking algorithms as well.
In an infrared search and tracking (IRST) system, the clustering procedure which merges target pixels into one cluster
requires larger computational load according to increasing clutters. In this paper, we propose a novel clustering method
based on weighted sub-sampling to reduce clustering time and obtain suitable cluster in cluttered environment. A
conventional sub-sampling method can reasonably reduce clustering time but cause large error, when obtaining cluster
center. However, our proposed clustering method perform sub-sampling and assign specific weights which is the number
of target pixels in sampling region to sub-sampled pixels to obtain suitable cluster center. After performing clustering
procedure, the cluster center position is properly obtained using sampled pixels and their weights in the cluster.
Therefore, our proposed method can not only reduce clustering time using a sub-sampling method, but also obtain proper
cluster center using our proposed weights. To validate our proposed method, experimental results for several infrared and
noise images are presented.
In the maritime environment, the main goals of an infrared search and track system is to search and track the targets
approaching to ships, such as sea skimming missiles, small ships, and aircrafts. In this paper, we propose a high
performance infrared search and track system. Our proposed infrared search and track system is composed of a dual band
infrared detection module, signal processing module, servo control module, and control console module. In the dual band
infrared detection module, the sensor head of our proposed system is organized by one-dimensional MWIR and LWIR
detectors (480X6) with 3-axes servo stabilization. The signal-processing module consists of several blocks such as a
target detection block, target tracking block, panoramic video displaying block, video input/output block, and system
control block. Those blocks perform the signal-processing algorithms involved with target search and tracking. In our
proposed system, adaptive temporal and spatial filtering methods, which can reduce background clutters effectively, are
used for target detection. Moreover, the extended Kalman filter and the integrated probabilistic data association (IPDA)
algorithm are adapted for target tracking. Therefore, our proposed infrared search and track system can increase the
defense ability of warships due to long range and high accuracy of target detection and tracking.