TCSVT 2008 – Efficient Multi-Target Visual Tracking Using Random Finite Sets
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TCSVT 2008 – Efficient Multi-Target Visual Tracking Using Random Finite Sets

Emilio Maggio, Murtaza Taj, Andrea Cavallaro IEEE Transaction on Circuits System and Video Technology, 2008 Abstract We propose a filtering framework for multi-target tracking that is based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. This framework can be combined with any object detectors that generate positional and dimensional information of…

EURASIP 2008 – Detection and Tracking of Humans and Faces
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EURASIP 2008 – Detection and Tracking of Humans and Faces

Stefan Karlsson, Murtaza Taj, Andrea Cavallaro EURASIP Journal on Image and Video Processing, 2008 Abstract We present a video analysis framework that integrates prior knowledge in object tracking to automatically detect humans and faces, and can be used to generate abstract representations of video (key-objects and object trajectories). The analysis framework is based on the fusion…