Although not commonly used, correlation filters can track complex objects through rotations,
occlusions and other distractions at over 20 times the rate of current state-of-the-art …

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing
interests in the field of visual object tracking, and have achieved extremely compelling …

Support vector machine (SVM) classifiers are popular in many computer vision tasks. In most
of them, the SVM classifier assumes that the object to be classified is centered in the query …

Advanced correlation filters (CFs) were introduced over three decades ago to offer distortion-
tolerant object recognition and are used in applications such as automatic target recognition …

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 …

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 …

Due to the complexity of background scenarios and the variation of target appearance, it is
difficult to achieve high accuracy and fast speed for object tracking. Currently, correlation …

Despite its extensive use, the traditional 4 f Vander Lugt Correlator optical setup can be
further simplified. We propose a lightweight correlation scheme where the decision is taken …