BACKGROUND Factory automation is used in many assembly contexts. To enable more
flexible manufacturing processes, systems are required that allow robots and humans to …

This paper presents the results of the crowd image analysis challenge of the PETS2010
workshop. The evaluation was carried out using a selection of the metrics developed in the …

This paper presents the results of the crowd image analysis challenge of the Winter PETS
2009 workshop. The evaluation is carried out using a selection of the metrics developed in …

In this paper we present a real-time tracking algorithm that is able to deal with complex
occlusions involving a plurality of moving objects simultaneously. The rationale is grounded …

This article introduces a class of first-order stationary time-varying Pitman-Yor processes.
Subsuming our construction of time-varying Dirichlet processes presented in (Caron et al …

This paper presents the PETS2009 outdoor crowd image analysis surveillance dataset and
the performance evaluation of people counting, detection and tracking results using the …

This paper explores how to find, track, and learn models of arbitrary objects in a video
without a predefined method for object detection. We present a model that localizes objects …

Third generation surveillance systems are largely requested for intelligent surveillance of
different scenarios such as public areas, urban traffic control, smart homes and so on. They …

This paper tackles the problem of data selection for training set generation in the context of
near real-time pedestrian detection through the introduction of a training methodology …

In this work, a particle swarm optimization based algorithm for multitarget tracking is
presented. At the beginning of each frame, the objects are tracked individually using highly …