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N. Artner, W. Kropatsch:
"Structural Cues in 2D Tracking: Edge Lengths vs. Barycentric Coordinates";
Lecture Notes in Computer Science, LNCS 8259 (2013), S. 503 - 512.

Graph models offer high representational power and useful
structural cues. Unfortunately, tracking objects by matching graphs over
time is in general NP-hard. Simple appearance-based trackers are able to
find temporal correspondences fast and efficient, but often fail to over-
come challenging situations like occlusions, distractors and noise. This
paper proposes an approach, where an attributed graph is used to rep-
resent the structure of the target object and multiple, simple trackers
in combination with structural cues replace the costly graph matching.
Thus, the strengths of both methodologies are combined to overcome
their weaknesses. Experiments based on synthetic videos are used to
evaluate two possible structural cues. Results show the superiority of the
cue based on barycentric coordinates and the potential of the proposed
tracking approach in challenging situations