Covariance‐based online validation of video tracking

Covariance-based online validation of video tracking

Temporal validation of Particle Filters for video tracking

We present an approach for determining the temporal consistency of Particle Filters in video tracking based on model validation of their uncertainty over sliding windows. The filter uncertainty is related to the consistency of the dispersion of the filter hypotheses in the state space. We learn an uncertainty model via a mixture of Gamma distributions whose optimum number is selected by modifie...

Online Modeling and Tracking of Pose-Varying Faces in Video

Human face recognition is an interesting and popular topic in the vision community. The most important part of a face recognition system is to handle all kinds of variations through modeling. There are many different kinds of variations, such as pose, illumination, expression, aging, etc., among which pose variation is the hardest one to model [1]. We proposes a face mosaicing approach to model...

Online Multiple Face Detection and Tracking from Video

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Online multiple people tracking-by-detection in crowded scenes

Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...