Maritime Infrared Target Detection Using a Dual-Mode Background Model

Fast Algorithm of Infrared Point Target Detection in Fluctuant Background

The background estimation approach using a small window median filter is presented on the bases of analyzing IR point target, noise and clutter model. After simplifying the two-dimensional filter, a simple method of adopting one-dimensional median filter is illustrated to make estimations of background according to the characteristics of IR scanning system. The adaptive threshold is used to seg...

Automatic Maritime Surveillance with Visual Target Detection

In this paper an automatic maritime surveillance system is presented. Boat detection is performed by means of an Haar-like classifier in order to obtain robustness with respect to targets having very different size, reflections and wakes on the water surface, and apparently motionless boats anchored off the coast. Detection results are filtered over the time in order to reduce the false alarm r...

Background Modeling and Foreground Detection for Maritime Video Surveillance

Sapienza University of Rome, Italy 1.

The Dual-mode Model

Target Detection in Infrared Images Using Block-Based Approach

A novel and simple method for identification of targets in infrared (IR) images is proposed in this chapter. The input image is divided into blocks of fixed size. The saliency map is extracted block-wise in three different ways. In the first approach, the entropy of each block is compared with the global entropy of the image. In the second approach, the energy of each block is compared with the...