Face recognition is a rapidly growing research area due to increasing demands for security
in commercial and law enforcement applications. This paper provides an up-to-date review …

Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared
search and track applications for self-defense or attacks. Consequently, an effective small …

Robust and effective detection of small target and false alarm (FA) suppression are the key
techniques in infrared search and track systems. In this paper, the derivative entropy-based …

Maneuvering vessel detection and tracking (VDT), incorporated with state estimation and
trajectory prediction, are important tasks for vessel navigational systems (VNSs), as well as …

We propose an effective small-target detection approach based on weighted image entropy.
The approach weights the local entropy measure by the multiscale grayscale difference …

Infrared small target detection in an infrared search and track (IRST) system is a challenging
task. This situation becomes more complicated when high gray-intensity structural …

This paper introduces a general active-learning framework for robust on-road vehicle
recognition and tracking. This framework takes a novel active-learning approach to building …

Long-range infrared images are always suffering from dim targets and background clutters.
To improve the contrast between target and background, we propose a novel infrared image …

Dim small target is an active and important research area in image processing and pattern
recognition. Various algorithms have been proposed to detect and track dim small target …

The existing small target detection methods may suffer serious false alarm rate and low
probability of detection in the situation of intricate background clutter. To cope with this …