Visual object tracking is a challenging task in computer vision, especially if there are no
constraints to the scenario and the objects are arbitrary. The number of tracking algorithms is …

This work proposes a feature-based probabilistic data association and tracking approach
(FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of …

Camera images often contain more information than the human eye can notice. Despite
numerous influences degrading image quality, there is potentially some information present …

Visual object tracking is a challenging task in computer vision, especially if there are no
constraints to the scenario and the objects are arbitrary. The number of tracking algorithms is …

A set of trackers operating on thermal video data is investigated. The contribution focuses on
marine scenarios with ships that may perform maneuvers such as turning or occluding each …

In this contribution we present a method for handling merged detections in video-based
Multi-Target-Tracking applications. Merged detections occur when two or more objects …

There are powerful image enhancement methods using, eg, contrast stretching or retinex to
compute enhanced LWIR or MWIR grayvalue images. But some methods have considerable …

This paper addresses the detection and localization of persons in LWIR imagery which is
useful especially in visual surveillance tasks such as intruder detection in military camps or …