In complex tracking scenarios of multitarget occlusion, especially when the target is
seriously occluded, feature loss can lead to tracking failure. In this article, we develop a …

Zusammenfassung Das Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
IOSB befasst sich seit vielen Jahren mit der intelligenten Bild-und Videoauswertung im …

The number of images taken from different view-points plays an important role in the
accuracy of object detection in cluttered scenarios. Considering Electric Vehicles battery …

In this paper, we present a novel design for a multi-camera tracking system with occlusion-
handling capabilities and its application to a highway traffic surveillance system. The …

Cross-camera video analytics is a major video ana-lytic task that associates and analyzes
information across multiple cameras. However, the searching cost for existing cross-camera …

Person retrieval is a crucial task in video surveillance. While searching for persons-of-
interest based on so-called query images gains much interest in the research community …

Cross-camera video analytics is a major video analytic task that associates and analyzes
information across multiple cameras. Existing studies exploit static temporal and spatial …

Attribute-based person retrieval is a crucial component in various realworld applications,
including surveillance, retail, and smart cities. Contrary to image-based person identification …

Multi-Object Tracking (MOT) has achieved aggressive progress and derived many excellent
deep learning trackers. Meanwhile, most deep learning models are known to be vulnerable …

Nowadays, simulation environments are widely used in different research fields. As the
complexity of the problem increases, Cameras-Sampling in a simulation environment is …