II In this article we introduce the subject of automatic target recognition (ATR). Interest in ATR is increasing in the defense community as the need for precision strikes in limited warfare situations becomes an increasingly important part of our defense posture. We discuss reasons for the difficulty of the ATR problem and we survey the variety of approaches that try to solve the problem. We c...

We present an approach for vehicle classification in IR video sequences by integrating detection, tracking and recognition. The method has two steps. First, the moving target is automatically detected using a detection algorithm. Next, we perform simultaneous tracking and recognition using an appearance-model based particle filter. The tracking result is evaluated at each frame. Low confidence ...

Automatic target recognition (ATR) involves processing images for detecting, classifying, and tracking targets embedded in a background scene. This paper presents an algorithm for detecting a specified set of target objects embedded in visual images for an ATR application. The developed algorithm employs a novel technique for automatically detecting man-made and non-manmade single, two, and mul...

Amethod to automatically detect targets from sets of pixelregistered visual, thermal, and range images is outlined. It uses operations speci cally designed to work on the di erent kinds of images to explote the information given by each of them. Five features are used to distinguish the targets from the clutter: texture, brightness, temperature, surface planarity, and height. The results from i...

To reduce the complexity of classifier design in radar automatic target recognition (RATR), a novel RATR method for high range resolution profile (HRRP) is proposed. Linearly separable features are extracted with sequential vanishing component analysis (SVCA) which is implemented by finding the generators of each approximately vanishing polynomial set, and target classification is implemented w...

Humans exhibit remarkable abilities to estimate, filter, predict, and fuse information in target tracking tasks. To improve track quality, we extend previous tracking approaches by investigating human cognitive-level fusion for constraining the set of plausible targets where the number of targets is not known a priori. The target track algorithm predicts a belief in the position and pose for a ...

This paper describes an automatic target recognition system for detecting targets in temporal sequences of intensity LADAR images. The system rst nds all objects in the images using a general method that is capable of nding both blobs and curves. Then features of the objects are extracted. Next fuzzy c-means is used to cluster the objects in feature space. Finally, prototypes generated for each...

Energy is a critical performance metric in collaborative and distributed wireless networks. An integrated approach that considers system-level energy tradeoffs (such as communication versus computation energy) is essential for energy efficient application development in these networks. In this paper, we present a system-level model for estimating the energy dissipation in these networks, and di...

This paper outlines a method to automatically detect targets from sets of pixel-registered visual, thermal , and range images. The method uses operations speciically designed for the diierent kinds of images. It also introduces the morphological operation called \erosion of strength n" as a powerful tool for removal of spurious information. Good preliminary results obtained for detection suppor...