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Human face location in image sequences using genetic templates

Authors: null Jae Woo Kim; null Byoung Ho Kang; null Poong Min Kim; null Maeng Sub Cho;

Human face location in image sequences using genetic templates

Abstract

Describes a computer vision system to locate a human face in an image sequence. The system operates on an image sequence captured during a time period and locates the human face region on each image in the sequence. It is the first important step in a human face recognition system. In this system we use a genetic algorithm to construct human face templates. We evolve our templates to adapt to the characteristics which human faces commonly have. The system consists of the following image processing modules: (1) noise reduction, (2) moving object region detection, (3) human face candidate region detection, (4) human face region verification. In the last step, we confirm the human face region among the candidate regions using the human face templates constructed by the genetic algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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